my Lab Bioinformatics Tools

NameYearJournal/ProceedingTitle
miRCatKmer2020A Machine Learning-based Approach for the Categorization of
MicroRNAs to Their Species of Origin
TopicsRanksDC2020Database and Expert Systems Applications,  SpringerTopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data”
miRcorrNet2020miRcorrNet:  Integrated microRNA Gene Expression and mRNA Expression Based Machine Learning combined with Features Grouping and  Ranking
CogNet2020CogNet: Classification of Gene Expression Data based on ranked Active-Subnetwork-Oriented KEGG Pathway Enrichment Analysis
RCE based SVM in Knime2020Recursive Cluster Elimination based SVM implemented in Knime
GrpClassifierEC2020Algorithms for Molecular BiologyGrpClassifierEC: A Novel Classification Approach Based on the Ensemble Clustering Space
maTE2019Bioinformatics (revised)maTE: Discovering Expressed MicroRNA – Target Interactions
miRKmerPred2017-2019(1) BMC bioinformatics
(2) EURASIP Journal on Advances in Signal Processing
miRKmerPred:
MicroRNA categorization using sequence motifs and k-mers
SVM-RCE-EC2017Journal of
Proteomics & Bioinformatics
Selection of Significant Clusters of Genes based on Ensemble Clustering
and Recursive Cluster Elimination (RCE)
kmerMotifPredMiRna2017BMC-BioinformaticsMicroRNA categorization using sequence motifs and k-mers
OneClassmiRNA2008Algorithms for Molecular BiologyLearning from positive examples when the negative class is undetermined- microRNA gene identification
NBmiRTar2007BioinformaticsNaïve Bayes for microRNA target predictions–machine learning for microRNA targets.
SVM-RCE2007BMC-BioinformaticsRecursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
BayesMiRNAfind 2006BioinformaticsCombining multi-species genomic data for microRNA identification using a Naïve Bayes classifier