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References from MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins. Local targets link to admitted publications; unresolved targets remain external evidence.
DAMpred: recognizing disease-associated nsSNPs through Bayes-guided neural-network model built on low-resolution structure prediction of proteins and protein-protein interactions
10.1016/j.jmb.2019.02.017 · 2019 · External reference
Corrigendum: cerebral cavernous malformations: review of the genetic and protein–protein interactions resulting in disease pathogenesis
10.3389/fsurg.2017.00031 · 2017 · External reference
10.1093/bib/bbr070
10.1093/bib/bbr070 · External reference
A review study: Computational techniques for expecting the impact of non-synonymous single nucleotide variants in human diseases
10.1016/j.gene.2018.09.028 · 2019 · External reference
10.1093/bioinformatics/btv195
10.1093/bioinformatics/btv195 · External reference
10.1093/nar/gkg509
10.1093/nar/gkg509 · External reference
10.1093/nar/gkr363
10.1093/nar/gkr363 · External reference
High-confidence assessment of functional impact of human mitochondrial non-synonymous genome variations by APOGEE
10.1371/journal.pcbi.1005628 · 2017 · External reference
SNAP: predict effect of non-synonymous polymorphisms on function
10.1093/nar/gkm238 · 2007 · External reference
Human non-synonymous SNPs: server and survey
10.1093/nar/gkf493 · 2002 · External reference
10.1038/nmeth0410-248
10.1038/nmeth0410-248 · External reference
Predicting functional effect of human missense mutations using PolyPhen-2
2013 · External reference
10.1371/journal.pcbi.1003440
10.1371/journal.pcbi.1003440 · External reference
Collective judgment predicts disease-associated single nucleotide variants
10.1186/1471-2164-14-s3-s2 · 2013 · External reference
10.1016/j.ajhg.2016.08.016
10.1016/j.ajhg.2016.08.016 · External reference
Improving the assessment of the outcome of nonsynonymous SNVs with a consensus deleteriousness score, Condel
10.1016/j.ajhg.2011.03.004 · 2011 · External reference
10.1006/jmbi.2000.4315
10.1006/jmbi.2000.4315 · External reference
Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
10.1186/1741-7007-7-50 · 2009 · External reference
10.1111/j.1582-4934.2008.00281.x
10.1111/j.1582-4934.2008.00281.x · External reference
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The topological analysis of integral cytoplasmic membrane proteins
10.1007/bf00233047 · 1993 · External reference
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10.4161/psb.4.10.9530 · External reference
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10.1002/humu.23961
10.1002/humu.23961 · External reference
MutHTP: mutations in human transmembrane proteins
10.1093/bioinformatics/bty054 · 2018 · External reference
Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structure
10.1371/journal.pone.0219452 · 2019 · External reference
10.1093/nar/gkaa416
10.1093/nar/gkaa416 · External reference
TMSNP: a web server to predict pathogenesis of missense mutations in the transmembrane region of membrane proteins
10.1093/nargab/lqab008 · 2021 · External reference
Easy retrieval of single amino-acid polymorphisms and phenotype information using SwissVar
10.1093/bioinformatics/btq028 · 2010 · External reference
A global reference for human genetic variation
10.1038/nature15393 · 2015 · External reference
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10.1093/nar/gkq929
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10.1093/nar/gkt1113 · External reference
10.1093/nar/gky1004
10.1093/nar/gky1004 · External reference
10.1093/nsr/nwy108
10.1093/nsr/nwy108 · External reference
10.1109/cvpr.2017.243
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10.1093/bioinformatics/bts565
10.1093/bioinformatics/bts565 · External reference
10.1093/nar/28.1.45
10.1093/nar/28.1.45 · External reference
10.1038/s41586-020-2308-7
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10.7554/elife.34729
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AAindex: amino acid index database, progress report 2008
10.1093/nar/gkm998 · 2007 · External reference
10.1093/nar/29.14.2994
10.1093/nar/29.14.2994 · External reference
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs
10.1109/tcbb.2016.2616469 · 2017 · External reference
SOMPNN: an efficient non-parametric model for predicting transmembrane helices
10.1007/s00726-011-0959-2 · 2012 · External reference
10.1073/pnas.89.22.10915
10.1073/pnas.89.22.10915 · External reference
10.1002/humu.22225
10.1002/humu.22225 · 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
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
10.1371/journal.pone.0177678 · 2017 · External reference
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
10.1186/s12864-019-6413-7 · 2020 · External reference
10.1016/j.chemolab.2005.05.004
10.1016/j.chemolab.2005.05.004 · External reference
Scikit-learn: Machine learning in Python
2011 · External reference
Unresolved reference
External reference
Adenosine receptors and neurological disease: neuroprotection and neurodegeneration
10.1007/978-3-540-89615-9_17 · 2009 · External reference
Feature selection based on conditional mutual information: minimum conditional relevance and minimum conditional redundancy
10.1007/s10489-018-1305-0 · 2019 · External reference
iLearn: an integrated platform and meta-learner for feature engineering, machine learning analysis and modeling of DNA, RNA and protein sequence data
10.1093/bib/bbz041 · 2020 · External reference
Applications of support vector machine (SVM) learning in cancer genomics
2018 · External reference
10.2174/1386207323666200306125538
10.2174/1386207323666200306125538 · External reference
10.21037/atm.2016.03.37
10.21037/atm.2016.03.37 · External reference
10.1002/cem.873
10.1002/cem.873 · External reference
Correlation and variable importance in random forests
10.1007/s11222-016-9646-1 · 2017 · External reference
Predicting citrullination sites in protein sequences using mRMR method and random forest algorithm
10.2174/1386207319666161227124350 · 2017 · External reference
10.1007/s10994-006-6226-1
10.1007/s10994-006-6226-1 · External reference
Soft margins for AdaBoost
10.1023/a:1007618119488 · 2001 · External reference
Boosted decision trees as an alternative to artificial neural networks for particle identification
10.1016/j.nima.2004.12.018 · 2005 · External reference
ENTPRISE: an algorithm for predicting human disease-associated amino acid substitutions from sequence entropy and predicted protein structures
10.1371/journal.pone.0150965 · 2016 · External reference
10.1038/nature13306
10.1038/nature13306 · External reference
10.1016/j.molcel.2015.04.015
10.1016/j.molcel.2015.04.015 · External reference
10.1016/j.ajhg.2008.04.020
10.1016/j.ajhg.2008.04.020 · External reference
The PyMOL user’s manual
2004 · External reference
10.1111/j.0022-202x.2004.23421.x
10.1111/j.0022-202x.2004.23421.x · External reference
10.1016/j.bbamem.2010.05.021
10.1016/j.bbamem.2010.05.021 · External reference
Modulation of the oligomerization of myelin proteolipid protein by transmembrane helix interaction motifs
10.1021/bi100739r · 2010 · External reference
Bioinformatic analysis of GJB2 gene missense mutations
10.1007/s12013-014-0385-7 · 2015 · External reference
GJB2 deafness gene shows a specific spectrum of mutations in Japan, including a frequent founder mutation
10.1007/s00439-002-0889-x · 2003 · External reference
10.1101/gr.3804205
10.1101/gr.3804205 · External reference
10.1093/bioinformatics/btl423
10.1093/bioinformatics/btl423 · External reference
nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms
10.1093/nar/gki372 · 2005 · External reference
10.1073/pnas.0404380101
10.1073/pnas.0404380101 · External reference
The WEKA data mining software: an update
10.1145/1656274.1656278 · 2009 · External reference