Research graph
References from Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/j.arbres.2010.09.009
10.1016/j.arbres.2010.09.009 · External reference
Personalized medicine could transform healthcare
10.3892/br.2017.922 · 2017 · External reference
10.1186/s12916-018-1122-7
10.1186/s12916-018-1122-7 · External reference
Advances and trends in omics technology development
2022 · External reference
Beyond metabolomics: a review of multi-omics-based approaches
2016 · External reference
Applications of metabolomics in cancer studies
2017 · External reference
10.1038/nrm3314
10.1038/nrm3314 · External reference
Plasma metabolomic profiles enhance precision medicine for volunteers of normal health
2015 · External reference
10.1530/jme-18-0055
10.1530/jme-18-0055 · External reference
An introduction to variable and feature selection
2003 · External reference
10.1016/j.neucom.2018.02.100
10.1016/j.neucom.2018.02.100 · External reference
10.1007/978-3-662-45620-0
10.1007/978-3-662-45620-0 · External reference
Latent representation learning in biology and translational medicine
10.1016/j.patter.2021.100198 · 2021 · External reference
10.1038/nrg3868
10.1038/nrg3868 · External reference
Multi-omics approaches to disease
10.1186/s13059-017-1215-1 · 2017 · External reference
10.1038/nrc3721
10.1038/nrc3721 · External reference
10.1038/s41568-021-00408-3
10.1038/s41568-021-00408-3 · External reference
10.1186/s12874-019-0681-4
10.1186/s12874-019-0681-4 · External reference
A survey on the interpretability of deep learning in medical diagnosis
10.1007/s00530-022-00960-4 · 2022 · External reference
A benchmark study of deep learning-based multi-omics data fusion methods for cancer
10.1186/s13059-022-02739-2 · 2022 · External reference
Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies
10.1186/s12859-022-04900-x · 2022 · External reference
10.1016/j.jprot.2013.10.002
10.1016/j.jprot.2013.10.002 · External reference
Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue–a GC-TOFMS based metabolomics study
10.1186/1471-2164-13-334 · 2012 · External reference
10.1158/0008-5472.can-14-0109
10.1158/0008-5472.can-14-0109 · External reference
10.1038/ng.2764
10.1038/ng.2764 · External reference
Feature selection for classification
10.3233/ida-1997-1302 · 1997 · External reference
Feature selection for classification: a review
2014 · External reference
A comparative study on the effect of feature selection on classification accuracy
10.1016/j.protcy.2012.02.068 · 2012 · External reference
Decision support for breast cancer detection: classification improvement through feature selection
10.1177/1073274819876598 · 2019 · External reference
Use of the zero norm with linear models and kernel methods
2003 · External reference
10.1145/1273496.1273600
10.1145/1273496.1273600 · External reference
Unsupervised feature selection using feature similarity
10.1109/34.990133 · 2002 · External reference
Feature selection for unsupervised learning
2004 · External reference
Semi-supervised feature selection via spectral analysis
2007 · External reference
Discriminative semi-supervised feature selection via manifold regularization
10.1109/tnn.2010.2047114 · 2010 · External reference
Theoretical and empirical analysis of ReliefF and RReliefF
10.1023/a:1025667309714 · 2003 · External reference
Pattern classification
2001 · External reference
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
10.1109/tpami.2005.159 · 2005 · External reference
10.1016/s0004-3702(97)00043-x
10.1016/s0004-3702(97)00043-x · External reference
Toward integrating feature selection algorithms for classification and clustering
10.1109/tkde.2005.66 · 2005 · External reference
10.1093/bib/bbn027
10.1093/bib/bbn027 · External reference
Boruta–a system for feature selection
10.3233/fi-2010-288 · 2010 · External reference
10.18637/jss.v036.i11
10.18637/jss.v036.i11 · External reference
10.1016/0169-7439(87)80084-9
10.1016/0169-7439(87)80084-9 · External reference
A metabolomics strategy to identify potential biomarkers associated with human laryngeal cancer based on dried blood spot mass spectrometry approach
2022 · External reference
Mixtures of probabilistic principal component analyzers
10.1162/089976699300016728 · 1999 · External reference
Probabilistic principal component analysis for metabolomic data
10.1186/1471-2105-11-571 · 2010 · External reference
10.1111/j.1469-1809.1936.tb02137.x
10.1111/j.1469-1809.1936.tb02137.x · External reference
Urine metabolomics analysis for kidney cancer detection and biomarker discovery
10.1074/mcp.m800165-mcp200 · 2009 · External reference
Combined metabolomic and proteomic analysis of human atrial fibrillation
10.1016/j.jacc.2007.09.055 · 2008 · External reference
High-dimensional discriminant analysis
10.1080/03610920701271095 · 2007 · External reference
Partial least squares for discrimination
2003 · External reference
Partial least squares analysis with cross‐validation for the two‐class problem: a Monte Carlo study
10.1002/cem.1180010306 · 1987 · External reference
Multivariate analysis in metabolomics
2013 · External reference
10.1037/10694-001
10.1037/10694-001 · External reference
Metabolic profiling and factor analysis to discriminate quantitative resistance in wheat cultivars against fusarium head blight
10.1016/j.pmpp.2005.05.005 · 2005 · External reference
10.1162/089976698300017467
10.1162/089976698300017467 · External reference
Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra
10.1504/ijdmb.2008.019097 · 2008 · External reference
Gaussian process latent variable models for visualisation of high dimensional data
2003 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
A unified approach to interpreting model predictions
2017 · External reference
10.1007/978-1-4614-7138-7
10.1007/978-1-4614-7138-7 · External reference
10.1007/978-0-387-39940-9_565
10.1007/978-0-387-39940-9_565 · External reference
10.1214/09-ss054
10.1214/09-ss054 · External reference
Improvements on cross-validation: the 632+ bootstrap method
1997 · External reference
Estimating classification error rate: repeated cross-validation, repeated hold-out and bootstrap
10.1016/j.csda.2009.04.009 · 2009 · External reference
Unresolved reference
External reference
Unresolved reference
2021 · External reference
10.1038/84635
10.1038/84635 · External reference
Prognostic significance of vascular endothelial growth factor D in breast carcinoma with long-term follow-up
2003 · External reference
10.1038/s41419-021-03849-8
10.1038/s41419-021-03849-8 · External reference
Identification of novel epigenetically inactivated gene PAMR1 in breast carcinoma
10.3892/or.2014.3581 · 2015 · External reference
Integrated bioinformatic analysis of the expression and prognosis of caveolae-related genes in human breast cancer
10.3389/fonc.2021.703501 · 2021 · External reference
10.1158/1078-0432.ccr-0398-3
10.1158/1078-0432.ccr-0398-3 · External reference
Pros and cons of pharmacological manipulation of cGMP-PDEs in the prevention and treatment of breast cancer
10.3390/ijms23010262 · 2021 · External reference
Rab11a differentially modulates epidermal growth factor-induced proliferation and motility in immortal breast cells
10.1007/s10549-006-9244-6 · 2006 · External reference