iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach.
about
Identification of Multi-Functional Enzyme with Multi-Label Classifier2L-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 networkPredicting human protein subcellular localization by heterogeneous and comprehensive approaches.iPTM-mLys: identifying multiple lysine PTM sites and their different types.Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarityPrediction of protein-protein interactions with clustered amino acids and weighted sparse representation.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Predicting cancerlectins by the optimal g-gap dipeptides.JNSViewer-A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures.IpiRId: Integrative approach for piRNA prediction using genomic and epigenomic data.iMiRNA-SSF: Improving the Identification of MicroRNA Precursors by Combining Negative Sets with Different Distributions.DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites.Recombination spot identification Based on gapped k-mers.Combined sequence and sequence-structure based methods for analyzing FGF23, CYP24A1 and VDR genes.Protein Remote Homology Detection Based on an Ensemble Learning Approach.iACP: a sequence-based tool for identifying anticancer peptides.ProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble ClassifierRelapse-related long non-coding RNA signature to improve prognosis prediction of lung adenocarcinomaPredicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids.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.An improved method for identification of small non-coding RNAs in bacteria using support vector machine.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.Recent Advances in Conotoxin Classification by Using Machine Learning Methods.Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project.iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition.Prediction of N-linked glycosylation sites using position relative features and statistical moments.iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.Protein remote homology detection based on bidirectional long short-term memoryImproving classification of mature microRNA by solving class imbalance problemConstructing Prediction Models from Expression Profiles for Large Scale lncRNA-miRNA Interaction Profiling.Identification of microRNA precursors using reduced and hybrid features.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.SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.
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iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
iMiRNA-PseDPC: microRNA precur ...... nce-pair composition approach.
@en
type
label
iMiRNA-PseDPC: microRNA precur ...... nce-pair composition approach.
@en
prefLabel
iMiRNA-PseDPC: microRNA precur ...... nce-pair composition approach.
@en
P2093
P2860
P1476
iMiRNA-PseDPC: microRNA precur ...... nce-pair composition approach.
@en
P2093
Longyun Fang
Xiaolong Wang
P2860
P304
P356
10.1080/07391102.2015.1014422
P577
2015-02-03T00:00:00Z