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References from IBPred: A sequence-based predictor for identifying ion binding protein in phage. Local targets link to admitted publications; unresolved targets remain external evidence.
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The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data
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Predicting human microRNA-disease associations based on support vector machine
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10.1002/imt2.11
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DeepFusion-RBP: using deep learning to fuse multiple features to identify RNA-binding protein sequences
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A deep learning based ensemble learning method for epileptic seizure prediction
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EPSOL: sequence-based protein solubility prediction using multidimensional embedding
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Identifying plant pentatricopeptide repeat proteins using a variable selection method
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DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor
2021 · External reference
Deepm5C: a deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
2022 · External reference
10.1016/j.csbj.2021.07.013 · Admitted local publication
A survey on computational methods in discovering protein inhibitors of SARS-CoV-2
2022 · External reference
ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition
10.1186/s12859-021-04446-4 · 2021 · External reference
dPromoter-XGBoost: detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
10.1016/j.ymeth.2022.01.001 · 2022 · External reference
Rapid antibiotic resistance serial prediction in staphylococcus aureus based on large-scale MALDI-TOF data by applying XGBoost in multi-label learning
10.3389/fmicb.2022.853775 · 2022 · External reference
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Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
2021 · External reference
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework
10.1093/bib/bbaa049 · 2021 · External reference
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
10.1093/bib/bbab172 · 2021 · External reference
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome
10.1093/bib/bbab252 · 2021 · External reference
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iTSP-PseAAC: identifying tumor suppressor proteins by using fully connected neural network and PseAAC
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PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition
10.1093/bioinformatics/btw564 · 2017 · External reference
RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule
2019 · External reference
RaacLogo: a new sequence logo generator by using reduced amino acid clusters
10.1093/bib/bbaa096 · 2021 · External reference
HBPred: a tool to identify growth hormone-binding proteins
10.7150/ijbs.24174 · 2018 · External reference
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An improved protein structural classes prediction method by incorporating both sequence and structure information
10.1109/tnb.2014.2352454 · 2015 · External reference
Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition
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10.1002/prot.1035
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Identification of DNA-binding proteins via hypergraph based laplacian support vector machine
10.2174/1574893616666210806091922 · 2022 · External reference
Prediction of protein crystallization using collocation of amino acid pairs
10.1016/j.bbrc.2007.02.040 · 2007 · External reference
Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique
10.1039/c5mb00883b · 2016 · External reference
10.1093/nar/28.1.374
10.1093/nar/28.1.374 · External reference
10.1089/omi.2015.0095
10.1089/omi.2015.0095 · External reference
Prediction of protein folding class using global description of amino acid sequence
10.1073/pnas.92.19.8700 · 1995 · External reference
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
10.1093/bioinformatics/bty140 · 2018 · External reference
Prediction of protein subcellular locations by incorporating quasi-sequence-order effect
10.1006/bbrc.2000.3815 · 2000 · External reference
10.1126/science.185.4154.862
10.1126/science.185.4154.862 · External reference
10.1007/s11704-021-1015-3
10.1007/s11704-021-1015-3 · External reference
Risk prediction of diabetes and pre-diabetes based on physical examination data
10.3934/mbe.2022166 · 2022 · External reference
10.2174/1574893616666211007102747
10.2174/1574893616666211007102747 · External reference
Risk prediction of diabetes: big data mining with fusion of multifarious physical examination indicators
10.1016/j.inffus.2021.02.015 · 2021 · External reference
Integrated biomarker profiling of the metabolome associated with impaired fasting glucose and type 2 diabetes mellitus in large-scale Chinese patients
10.1002/ctm2.432 · 2021 · External reference
Predicting LncRNA subcellular localization using unbalanced pseudo-k nucleotide compositions
10.2174/1574893614666190902151038 · 2020 · External reference
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences
2022 · External reference
Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests
10.1016/j.compbiomed.2021.104461 · 2021 · External reference
Comparison of morphometric parameters in prediction of hydrocephalus using random forests
10.1016/j.compbiomed.2019.103547 · 2020 · External reference
10.2217/epi-2019-0321
10.2217/epi-2019-0321 · External reference
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10.1201/9780429246593 · External reference
Scikit-learn: machine learning in python
2011 · External reference
RFhy-m2G: identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features
2021 · External reference
Prediction of protein-protein interactions in arabidopsis thaliana using partial training samples in a machine learning framework
10.2174/1574893616666210204145254 · 2021 · External reference
Understanding mutation hotspots for the SARS-CoV-2 spike protein using shannon entropy and k-means clustering
10.1016/j.compbiomed.2021.104915 · 2021 · External reference
10.1371/journal.pcbi.1008696
10.1371/journal.pcbi.1008696 · External reference
iPromoter-5mC: a novel fusion decision predictor for the identification of 5-methylcytosine sites in genome-wide DNA promoters
10.3389/fcell.2020.00614 · 2020 · External reference
Unresolved reference
External reference
A network embedding framework based on integrating multiplex network for drug combination prediction
2022 · External reference
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions
2021 · External reference
10.3390/curroncol29080427
10.3390/curroncol29080427 · External reference