Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Computational advances of tumor marker selection and sample classification in cancer proteomics. Local targets link to admitted publications; unresolved targets remain external evidence.
Relation between mortality trends of cardiovascular diseases and selected cancers in the European Union, in 1970–2017. Focus on cohort and period effects
10.1016/j.ejca.2018.06.018 · 2018 · External reference
System biology approach to identify potential receptor for targeting cancer and biomolecular interaction studies of indole[2,1-a]isoquinoline derivative as anticancerous drug candidate against it
10.1007/s12539-017-0249-0 · 2017 · External reference
Unconditional probability of dying and age-specific mortality rate because of major non-communicable diseases in India: time trends from 2001 to 2013
10.4103/jpgm.jpgm_529_17 · 2018 · External reference
Genome of Helicobacter pylori strain XZ274, an isolate from a tibetan patient with gastric cancer in China
10.1128/jb.00804-12 · 2012 · External reference
Discovery of the consistently well-performed analysis chain for SWATH-MS based pharmacoproteomic quantification
10.3389/fphar.2018.00681 · 2018 · External reference
Lung cancer: diagnosis and management
2007 · External reference
A patient with gastric carcinoid tumor: treatment and surveillance options
2005 · External reference
Review of the pathogenesis, diagnosis, and management of type I gastric carcinoid tumor
10.1007/s00268-011-1137-0 · 2011 · External reference
10.1016/j.canlet.2013.11.011
10.1016/j.canlet.2013.11.011 · External reference
An approach for identification of novel drug targets in Streptococcus pyogenes SF370 through pathway analysis
10.1007/s12539-015-0139-2 · 2016 · External reference
Subtractive genomics, molecular docking and molecular dynamics simulation revealed LpxC as a potential drug target against multi-drug resistant Klebsiella pneumoniae
2018 · External reference
In silico identification of protein S-palmitoylation sites and their involvement in human inherited disease
10.1021/acs.jcim.5b00276 · 2015 · External reference
Taxonomy dimension reduction for colorectal cancer prediction
10.1016/j.compbiolchem.2019.107160 · 2019 · External reference
Cancer diagnosis through isomir expression with machine learning method
10.2174/1574893611666160609081155 · 2018 · External reference
Clinical trials, progression-speed differentiating features and swiftness rule of the innovative targets of first-in-class drugs
10.1093/bib/bby130 · 2020 · External reference
A critical assessment of feature selection methods for biomarker discovery in clinical proteomics
10.1074/mcp.m112.022566 · 2013 · External reference
Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics
10.1093/nar/gkx1076 · 2018 · External reference
Tumor origin detection with tissue-specific miRNA and DNA methylation markers
10.1093/bioinformatics/btx622 · 2018 · External reference
LncRNA in tumorigenesis microenvironment
10.2174/157489361407190917161654 · 2019 · External reference
Proteomics for discovery of candidate colorectal cancer biomarkers
10.3748/wjg.v20.i14.3804 · 2014 · External reference
Compensatory variances of drug-induced hepatitis B virus YMDD mutations
10.1186/s40064-016-3003-x · 2016 · External reference
Inconvenient truth: cancer biomarker development by using proteomics
2014 · External reference
10.1371/journal.pcbi.1002300
10.1371/journal.pcbi.1002300 · External reference
Proteomics approaches towards early detection and diagnosis of ovarian cancer
10.1186/2051-1426-2-s1-o5 · 2014 · External reference
Cancer: a proteomic disease
10.1007/s11427-011-4163-0 · 2011 · External reference
Identification of bone metastasis-associated genes of gastric cancer by genome-wide transcriptional profiling
10.2174/1574893612666171121154017 · 2019 · External reference
10.3748/wjg.v21.i37.10573
10.3748/wjg.v21.i37.10573 · External reference
10.1126/scitranslmed.3001249
10.1126/scitranslmed.3001249 · External reference
Implementation of proteomics for cancer research: past, present, and future
10.7314/apjcp.2014.15.6.2433 · 2014 · External reference
10.1111/cns.13196
10.1111/cns.13196 · External reference
10.1093/bib/bbz061
10.1093/bib/bbz061 · External reference
10.1093/jjco/hys200
10.1093/jjco/hys200 · External reference
10.1038/nprot.2016.042
10.1038/nprot.2016.042 · External reference
A novel algorithm for detecting multiple covariance and clustering of biological sequences
10.1038/srep30425 · 2016 · External reference
Clinical success of drug targets prospectively predicted by in silico study
10.1016/j.tips.2017.12.002 · 2018 · External reference
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics
2020 · External reference
10.1093/nar/gkz779
10.1093/nar/gkz779 · External reference
Statistical analysis of proteomics data: a review on feature selection
10.1016/j.jprot.2018.12.004 · 2019 · External reference
Evaluating feature-selection stability in next-generation proteomics
10.1142/s0219720016500293 · 2016 · External reference
Fuzzy-FishNET: a highly reproducible protein complex-based approach for feature selection in comparative proteomics
10.1186/s12920-016-0228-z · 2016 · External reference
MetaboAnalyst 3.0-making metabolomics more meaningful
10.1093/nar/gkv380 · 2015 · External reference
msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies
10.1074/mcp.m111.015974 · 2012 · External reference
Statistical approaches to candidate biomarker panel selection
10.1007/978-3-319-41448-5_22 · 2016 · External reference
Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data
10.1093/bib/bbz049 · 2020 · External reference
10.1016/j.canlet.2016.08.014
10.1016/j.canlet.2016.08.014 · External reference
How can proteomics reach cancer biomarkers?
10.2174/1570164611310020006 · 2013 · External reference
Mass spectrometry-based plasma proteomics: considerations from sample collection to achieving translational data
10.1021/acs.jproteome.9b00503 · 2019 · External reference
Breast heterogeneity: obstacles to developing universal biomarkers of breast cancer initiation and progression
10.1016/j.jamcollsurg.2020.03.035 · 2020 · External reference
Mass spectrometry-based proteomics: from cancer biology to protein biomarkers, drug targets, and clinical applications
10.14694/edbook_am.2014.34.e504 · 2014 · External reference
10.1158/1078-0432.ccr-16-1203
10.1158/1078-0432.ccr-16-1203 · External reference
10.1093/annonc/mdv499
10.1093/annonc/mdv499 · External reference
10.1021/acsnano.8b02260
10.1021/acsnano.8b02260 · External reference
BioPlat: a software for human cancer biomarker discovery
10.1093/bioinformatics/btu111 · 2014 · External reference
10.1038/bjc.2014.664
10.1038/bjc.2014.664 · External reference
10.1371/journal.pone.0163962
10.1371/journal.pone.0163962 · External reference
MetaFS: performance assessment of biomarker discovery in metaproteomics
2020 · External reference
BCL2L12 improves risk stratification and prediction of BFM-chemotherapy response in childhood acute lymphoblastic leukemia
10.1515/cclm-2018-0507 · 2018 · External reference
10.1016/j.micinf.2012.10.008
10.1016/j.micinf.2012.10.008 · External reference
A systematic evaluation of normalization methods in quantitative label-free proteomics
2018 · External reference
Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria
10.1016/j.eswa.2017.01.048 · 2017 · External reference
Development of a serum biomarker panel predicting recurrence in stage I non-small cell lung cancer patients
10.1016/j.jtcvs.2012.08.033 · 2012 · External reference
10.1158/0008-5472.can-11-1543
10.1158/0008-5472.can-11-1543 · External reference
Prospective study of changes in the metabolomic profiles of men during their first three months of androgen deprivation therapy for prostate cancer
10.1158/1078-0432.ccr-11-3209 · 2012 · External reference
10.1038/ismej.2016.45
10.1038/ismej.2016.45 · External reference
10.1002/nbm.3097
10.1002/nbm.3097 · External reference
Dynamic modelling of time series data in nutritional metabonomics - a powerful complement to randomized clinical trials in functional food studies
10.1016/j.chemolab.2010.07.001 · 2010 · External reference
The correlation between relatives on the supposition of mendelian inheritance
1919 · External reference
Multiple comparison analysis testing in ANOVA
10.11613/bm.2011.029 · 2011 · External reference
10.1073/pnas.221465998
10.1073/pnas.221465998 · External reference
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors
10.1186/1472-6947-6-27 · 2006 · External reference
In vitro assessment of engineered nanomaterials using a hepatocyte cell line: cytotoxicity, pro-inflammatory cytokines and functional markers
10.3109/17435390.2011.653416 · 2013 · External reference
Quantitative proteomic analysis of cellular resistance to the nanoparticle abraxane
10.1021/acsnano.5b03677 · 2015 · External reference
The chi-square test for trend
10.1016/j.ajodo.2016.10.001 · 2016 · External reference
The chi-square test of independence
10.11613/bm.2013.018 · 2013 · External reference
Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions
2014 · External reference
Clinical application of carbon nanoparticles in surgery for papillary thyroid carcinoma in young patients
2014 · External reference
Comparing groups in a before-after design: when t test and ANCOVA produce different results
10.1348/000709905x52210 · 2006 · External reference
Identification of a protein signature in renal allograft rejection
10.1002/prca.201200036 · 2013 · External reference
10.1021/pr401264n
10.1021/pr401264n · External reference
NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data
10.1093/nar/gkaa258 · 2020 · External reference
A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies
2019 · External reference
ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies
10.1093/bib/bby127 · 2020 · External reference
10.1093/nar/gkx449
10.1093/nar/gkx449 · External reference
Performance evaluation and online realization of data-driven normalization methods used in LC/MS based untargeted metabolomics analysis
10.1038/srep38881 · 2016 · External reference
Simultaneous improvement in the precision, accuracy, and robustness of label-free proteome quantification by optimizing data manipulation chains
10.1074/mcp.ra118.001169 · 2019 · External reference
Developing a nanoparticle test for prostate cancer scoring
10.1186/1479-5876-10-44 · 2012 · External reference
10.1073/pnas.091062498
10.1073/pnas.091062498 · External reference
10.1016/j.jprot.2015.07.012
10.1016/j.jprot.2015.07.012 · External reference
Comprehensive proteomic profiling identifies serum proteomic signatures for detection of hepatocellular carcinoma and its subtypes
10.1373/49.5.752 · 2003 · External reference
10.1093/nar/gkv007
10.1093/nar/gkv007 · External reference
10.1186/1471-2164-7-252
10.1186/1471-2164-7-252 · External reference
10.1038/nature10284
10.1038/nature10284 · External reference
RPPanalyzer: analysis of reverse-phase protein array data
10.1093/bioinformatics/btq347 · 2010 · External reference
Proteomic profiling of cardiomyocyte-specific cathepsin a overexpression links cathepsin A to the oxidative stress response
10.1021/acs.jproteome.6b00413 · 2016 · External reference
Testing for differences with the nonparametric mann-whitney u test
10.1016/s1071-5754(97)90044-9 · 1997 · External reference
EDISON-WMW: exact dynamic programing solution of the wilcoxon-mann-whitney test
10.1016/j.gpb.2015.11.004 · 2016 · External reference
Size and power estimation for the wilcoxon-mann-whitney test for ordered categorical data
10.1002/sim.4407 · 2011 · External reference
Causal inference for mann-whitney-wilcoxon rank sum and other nonparametric statistics
10.1002/sim.6026 · 2014 · External reference
SSizer: determining the sample sufficiency for comparative biological study
10.1016/j.jmb.2020.01.027 · 2020 · External reference
InteractiVenn: a web-based tool for the analysis of sets through venn diagrams
10.1186/s12859-015-0611-3 · 2015 · External reference
A framework for grouping nanoparticles based on their measurable characteristics
10.2147/ijn.s40521 · 2013 · External reference
Unresolved reference
1998 · External reference
10.1016/j.ins.2014.05.042
10.1016/j.ins.2014.05.042 · External reference
An ensemble feature selection technique for cancer recognition
2014 · External reference
10.1016/j.compbiolchem.2004.11.001
10.1016/j.compbiolchem.2004.11.001 · External reference
10.1016/s1535-6108(02)00032-6
10.1016/s1535-6108(02)00032-6 · External reference
Unresolved reference
External reference
Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk
10.1118/1.4915284 · 2015 · External reference
Application of discriminant analysis and cross-validation on proteomics data
10.1007/978-1-4939-3106-4_11 · 2016 · External reference
Sparse discriminant analysis for breast cancer biomarker identification and classification
10.1016/j.pnsc.2009.04.013 · 2009 · External reference
PLS-regression: a basic tool of chemometrics
10.1016/s0169-7439(01)00155-1 · 2001 · External reference
Differentiation of Pueraria lobata and Pueraria thomsonii using partial least square discriminant analysis (PLS-DA)
10.1016/j.jpba.2013.05.040 · 2013 · External reference
UPLC-QTOFMS based metabolomics followed by stepwise partial least square-discriminant analysis (PLS-DA) explore the possible relation between the variations in secondary metabolites and the phylogenetic divergences of the genus Panax
10.1016/j.jchromb.2016.01.002 · 2016 · External reference
Proteomic analysis of urinary extracellular vesicles reveals a role for the complement system in medullary sponge kidney disease
10.3390/ijms20215517 · 2019 · External reference
Orthogonal projections to latent structures (O-PLS)
10.1002/cem.695 · 2010 · External reference
Orthogonal signal correction of near-infrared spectra
10.1016/s0169-7439(98)00109-9 · 1998 · External reference
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification
10.1002/cem.1006 · 2006 · External reference
A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock Omics data fusion
10.1016/j.aca.2013.01.022 · 2013 · External reference
Urine proteomics study reveals potential biomarkers for the differential diagnosis of cholangiocarcinoma and periductal fibrosis
10.1371/journal.pone.0221024 · 2019 · External reference
Sparse canonical methods for biological data integration: application to a cross-platform study
10.1186/1471-2105-10-34 · 2009 · External reference
Sparse partial-least-squares discriminant analysis for different geographical origins of Salvia miltiorrhiza by (1) H-NMR-based metabolomics
10.1002/pca.2461 · 2014 · External reference
Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems
10.1186/1471-2105-12-253 · 2011 · External reference
10.1186/1471-2156-11-94
10.1186/1471-2156-11-94 · External reference
10.1146/annurev-phyto-072910-095246
10.1146/annurev-phyto-072910-095246 · External reference
Feature subset selection for classification of histological images
10.1016/s0933-3657(96)00375-2 · 1997 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
1975 · External reference
10.7551/mitpress/3927.001.0001
10.7551/mitpress/3927.001.0001 · 1996 · External reference
Homology-free prediction of functional class of proteins and peptides by support vector machines
10.2174/138920308783565697 · 2008 · External reference
A multilevel evolutionary algorithm for optimizing numerical functions
2011 · External reference
10.1124/jpet.108.149955
10.1124/jpet.108.149955 · External reference
Genetic algorithm-generated SNP barcodes of the mitochondrial D-loop for chronic dialysis susceptibility
10.3109/19401736.2013.796513 · 2014 · External reference
10.7551/mitpress/2029.003.0018
10.7551/mitpress/2029.003.0018 · External reference
Artificial Intelligence: a modern approach
2015 · External reference
10.1109/cec.2018.8477836
10.1109/cec.2018.8477836 · External reference
An effective hybrid of hill climbing and genetic algorithm for 2D triangular protein structure prediction
2011 · External reference
10.1371/journal.pone.0039782
10.1371/journal.pone.0039782 · External reference
A review of feature selection methods based on mutual information
10.1007/s00521-013-1368-0 · 2014 · External reference
Orthogonal forward selection and backward elimination algorithms for feature subset selection
10.1109/tsmcb.2002.804363 · 2004 · External reference
Unresolved reference
2014 · External reference
Unresolved reference
2003 · External reference
Miyano SJIAToCB. A top-r feature selection algorithm for microarray gene expression data
10.1109/tcbb.2011.151 · 2012 · External reference
10.1109/tcbb.2015.2478454
10.1109/tcbb.2015.2478454 · External reference
Exploring effective features for recognizing the user intent behind web queries
10.1016/j.compind.2015.01.005 · 2015 · External reference
Category-specific models for ranking effective paraphrases in community question answering
10.1016/j.eswa.2014.02.004 · 2014 · External reference
Unresolved reference
2001 · External reference
A survey of optimization by building and using probabilistic models
2000 · External reference
Unresolved reference
2005 · External reference
Probabilistic model building in genetic programming: a critical review
10.1007/s10710-013-9205-x · 2014 · External reference
10.1016/j.asoc.2016.04.001
10.1016/j.asoc.2016.04.001 · External reference
10.1016/j.sbi.2007.06.001
10.1016/j.sbi.2007.06.001 · External reference
Deep-Resp-Forest: a deep forest model to predict anti-cancer drug response
10.1016/j.ymeth.2019.02.009 · 2019 · External reference
Statistical-thermodynamic approach to determination of structure amplitude phases
1979 · External reference
Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer
10.1093/bib/bbx138 · 2017 · External reference
10.1093/bioinformatics/btm344
10.1093/bioinformatics/btm344 · External reference
Power analysis and sample size determination in metabolic phenotyping
10.1021/acs.analchem.6b00188 · 2016 · External reference
Learning to improve medical decision making from imbalanced data without a priori cost
10.1186/s12911-014-0111-9 · 2014 · External reference
Unresolved reference
2016 · External reference
10.1093/bioinformatics/bti192
10.1093/bioinformatics/bti192 · External reference
A decision tree based data-driven diagnostic strategy for air handling units
10.1016/j.enbuild.2016.09.039 · 2016 · External reference
10.1093/nar/gkp1014
10.1093/nar/gkp1014 · External reference
10.1023/a:1010933404324
10.1023/a:1010933404324 · External reference
10.1016/j.isprsjprs.2011.11.002
10.1016/j.isprsjprs.2011.11.002 · External reference
Gene selection and classification of microarray data using random forest
10.1186/1471-2105-7-3 · 2006 · External reference
Serum metabolomics reveals the deregulation of fatty acids metabolism in hepatocellular carcinoma and chronic liver diseases
10.1007/s00216-012-5782-4 · 2012 · External reference
10.2174/1574893614666181119121916
10.2174/1574893614666181119121916 · External reference
A tutorial on support vector regression
10.1023/b:stco.0000035301.49549.88 · 2004 · External reference
Protein function prediction via graph kernels
10.1093/bioinformatics/bti1007 · 2005 · External reference
Local learning algorithms
10.1162/neco.1992.4.6.888 · 1992 · External reference
Computational identification of protein methylation sites through bi-profile bayes feature extraction
10.1371/journal.pone.0004920 · 2009 · External reference
Feature selection on hierarchy of web documents
10.1016/s0167-9236(02)00097-0 · 2003 · External reference
Feature selection for text classification with naïve bayes
10.1016/j.eswa.2008.06.054 · 2009 · External reference
Analysis of metabolomic data using support vector machines
10.1021/ac800954c · 2008 · External reference
Highly-accurate metabolomic detection of early-stage ovarian cancer
10.1038/srep16351 · 2015 · External reference
10.1038/nrurol.2013.9
10.1038/nrurol.2013.9 · External reference
Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN)
10.1016/j.ultsonch.2015.01.013 · 2015 · External reference
Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: a case study of fars province
10.1016/j.wasman.2015.09.034 · 2016 · External reference
Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
10.1016/s0895-4356(96)00002-9 · 1996 · External reference
10.1038/s41588-018-0295-5
10.1038/s41588-018-0295-5 · External reference
Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery
2019 · External reference
Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning
10.1093/bib/bbz081 · 2020 · External reference
Cancer diagnosis using deep learning: a bibliographic review
10.3390/cancers11091235 · 2019 · External reference
Clinically applicable deep learning algorithm using quantitative proteomic data
10.1021/acs.jproteome.9b00268 · 2019 · External reference
10.1016/j.cell.2018.05.012
10.1016/j.cell.2018.05.012 · External reference
Gene expression profiling, pathway analysis and subtype classification reveal molecular heterogeneity in hepatocellular carcinoma and suggest subtype specific therapeutic targets
10.1016/j.cancergen.2017.06.002 · 2017 · External reference
Multiple immunosuppressive effects of CpG-c41 on intracellular TLR-mediated inflammation
2017 · External reference
10.1038/nbt.1592
10.1038/nbt.1592 · External reference
10.3389/fbioe.2015.00023
10.3389/fbioe.2015.00023 · External reference
10.5936/csbj.201301009 · Admitted local publication
10.1371/journal.pone.0056883
10.1371/journal.pone.0056883 · External reference
10.1177/1176935118771082
10.1177/1176935118771082 · External reference
10.1038/nature15260
10.1038/nature15260 · External reference
10.1016/j.clinbiochem.2018.04.003
10.1016/j.clinbiochem.2018.04.003 · External reference
Global metabolic profiling procedures for urine using UPLC-MS
10.1038/nprot.2010.50 · 2010 · External reference
10.1038/nrd728
10.1038/nrd728 · External reference
Visualizing data using t-SNE
2008 · External reference
10.1073/pnas.1510227113
10.1073/pnas.1510227113 · External reference
10.1038/nprot.2007.376
10.1038/nprot.2007.376 · External reference
New prognosis biomarkers identified by dynamic proteomic analysis of colorectal cancer
10.1039/c2mb25286d · 2012 · External reference
GC-MS metabolomic analysis reveals significant alterations in cerebellar metabolic physiology in a mouse model of adult onset hypothyroidism
10.1021/pr100699m · 2011 · External reference
Protein co-expression analysis as a strategy to complement a standard quantitative proteomics approach: case of a glioblastoma multiforme study
10.1371/journal.pone.0161828 · 2016 · External reference
10.1002/pmic.201500458
10.1002/pmic.201500458 · External reference
Weighted K-means support vector machine for cancer prediction
10.1186/s40064-016-2677-4 · 2016 · External reference
Identification of CD14 as a potential biomarker of hepatocellular carcinoma using iTRAQ quantitative proteomics
10.18632/oncotarget.18782 · 2017 · External reference
Self organization of a massive document collection
10.1109/72.846729 · 2000 · External reference
Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
10.1186/1748-7188-3-9 · 2008 · External reference
