about
iNuc-PhysChem: a sequence-based predictor for identifying nucleosomes via physicochemical propertiesiSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.Exon skipping event prediction based on histone modifications.iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide compositionNaïve Bayes classifier with feature selection to identify phage virion proteinsIdentification of antioxidants from sequence information using naïve Bayes.PAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions.AOD: the antioxidant protein databasePredicting the types of J-proteins using clustered amino acids.Identifying N 6-methyladenosine sites in the Arabidopsis thaliana transcriptome.Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis.iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties.Prediction of ketoacyl synthase family using reduced amino acid alphabets.Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions.Prediction of replication origins by calculating DNA structural properties.Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.Identifying 2'-O-methylationation sites by integrating nucleotide chemical properties and nucleotide compositions.Identifying Antioxidant Proteins by Using Optimal Dipeptide Compositions.PHYPred: a tool for identifying bacteriophage enzymes and hydrolases.Prediction of CpG island methylation status by integrating DNA physicochemical properties.Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.Prediction of DNase I hypersensitive sites by using pseudo nucleotide compositions.Recent advances in Computational Methods for Identifying Anticancer PeptidesClassifying Included and Excluded Exons in Exon Skipping Event Using Histone ModificationsRecent advances in machine learning methods for predicting heat shock proteinsIdentifying Phage Virion Proteins by Using Two-Step Feature Selection MethodsIdentification of D Modification Sites by Integrating Heterogeneous Features in
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description
investigador
@es
researcher
@en
wetenschapper
@nl
name
Pengmian Feng
@en
Pengmian Feng
@nl
type
label
Pengmian Feng
@en
Pengmian Feng
@nl
prefLabel
Pengmian Feng
@en
Pengmian Feng
@nl
P31
P496
0000-0001-7720-1503