pLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset

scientific article published on 01 January 2019

pLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.2174/1573406415666181217114710
P698PubMed publication ID30556503

P2093author name stringXiang Cheng
Kuo-Chen Chou
Xuan Xiao
Qi Mao
Genqiang Chen
P433issue5
P921main subjectdata setQ1172284
P304page(s)496-509
P577publication date2019-01-01
P1433published inMedicinal ChemistryQ15765048
P1476titlepLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset
P478volume15

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cites work (P2860)
Q92442964Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
Q93029037Identifying FL11 subtype by characterizing tumor immune microenvironment in prostate adenocarcinoma via Chou's 5-steps rule
Q91699024RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule
Q89584735iMethylK_pseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou's 5-steps Rule
Q89584745iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou's 5-steps Rule and Pseudo Components

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