PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.
about
Identification of real microRNA precursors with a pseudo structure status composition approachRAMPred: identifying the N(1)-methyladenosine sites in eukaryotic transcriptomesBenchmark data for identifying DNA methylation sites via pseudo trinucleotide composition.In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular networkiPTM-mLys: identifying multiple lysine PTM sites and their different types.Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences.Environmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Handling High-Dimension (High-Feature) MicroRNA Data.Identifying the Types of Ion Channel-Targeted Conotoxins by Incorporating New Properties of Residues into Pseudo Amino Acid Composition.ProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble ClassifieriRSpot-DACC: a computational predictor for recombination hot/cold spots identification based on dinucleotide-based auto-cross covariancePAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions.iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition.iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in HumanPseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory.iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.iRSpot-EL: identify recombination spots with an ensemble learning approach.pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.Surveying and benchmarking techniques to analyse DNA gel fingerprint images.iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition.Recombination Hotspot/Coldspot Identification Combining Three Different Pseudocomponents via an Ensemble Learning Approach.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositionDetecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines.iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach.iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.Sequence-based predictive modeling to identify cancerlectins.iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.iRNA-PseU: Identifying RNA pseudouridine sites.Molecular science for drug development and biomedicine.repRNA: a web server for generating various feature vectors of RNA sequences.Evolutionary mechanism and biological functions of 8-mers containing CG dinucleotide in yeast.UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches.
P2860
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P2860
PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.
description
2014 nî lūn-bûn
@nan
2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@ast
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@en
type
label
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@ast
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@en
prefLabel
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@ast
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@en
P2093
P2860
P356
P1433
P1476
PseKNC-General: a cross-platfo ...... seudo nucleotide compositions.
@en
P2093
Jordan Brooker
Liqing Zhang
Xitong Zhang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU602
P407
P577
2014-09-16T00:00:00Z