Current understanding on micro RNAs and its regulation in response to Mycobacterial infections

PK Singh, AV Singh, DS Chauhan - Journal of biomedical science, 2013 - Springer
MicroRNAs (miRNAs) are evolutionarily conserved, naturally abundant, small, regulatory
non-coding RNAs that inhibit gene expression at the post-transcriptional level in a sequence …

[HTML][HTML] MicroRNAs in Plant Genetic Regulation of Drought Tolerance and Their Function in Enhancing Stress Adaptation

Y Zhakypbek, AM Belkozhayev, A Kerimkulova… - Plants, 2025 - pmc.ncbi.nlm.nih.gov
Adverse environmental conditions, including drought stress, pose a significant threat to plant
survival and agricultural productivity, necessitating innovative and efficient approaches to …

RFMirTarget: predicting human microRNA target genes with a random forest classifier

MR Mendoza, GC da Fonseca, G Loss-Morais, R Alves… - PloS one, 2013 - journals.plos.org
MicroRNAs are key regulators of eukaryotic gene expression whose fundamental role has
already been identified in many cell pathways. The correct identification of miRNAs targets is …

Identification of microRNA precursors based on random forest with network-level representation method of stem-loop structure

J **ao, X Tang, Y Li, Z Fang, D Ma, Y He, M Li - BMC bioinformatics, 2011 - Springer
Background MicroRNAs (miRNAs) play a key role in regulating various biological processes
such as participating in the post-transcriptional pathway and affecting the stability and/or the …

SPY: A novel resampling method for improving classification performance in imbalanced data

XT Dang, DH Tran, O Hirose… - 2015 seventh international …, 2015 - ieeexplore.ieee.org
In recent years, imbalanced class datasets have caused many difficulties influencing on the
analysis and understanding of raw data, which support decision-making process in many …

Naïve Bayes classifier predicts functional microRNA target interactions in colorectal cancer

R Amirkhah, A Farazmand, SK Gupta, H Ahmadi… - Molecular …, 2015 - pubs.rsc.org
Alterations in the expression of miRNAs have been extensively characterized in several
cancers, including human colorectal cancer (CRC). Recent publications provide evidence …

Effective identification of Gram-negative bacterial type III secreted effectors using position-specific residue conservation profiles

X Yang, Y Guo, J Luo, X Pu, M Li - PloS one, 2013 - journals.plos.org
Backgroud Type III secretion systems (T3SSs) are central to the pathogenesis and
specifically deliver their secreted substrates (type III secreted proteins, T3SPs) into host …

A new approach to human microRNA target prediction using ensemble pruning and rotation forest

R Mousavi, M Eftekhari, MG Haghighi - Journal of Bioinformatics …, 2015 - World Scientific
MicroRNAs (miRNAs) are small non-coding RNAs that have important functions in gene
regulation. Since finding miRNA target experimentally is costly and needs spending much …

Prediction of kinase-specific phosphorylational interactions using random forest

W Liu, Y Guo, J Luo, Y Zhong, X Yang, X Pu… - … and Intelligent Laboratory …, 2013 - Elsevier
Protein kinases mediate many important cellular and molecular processes by
phosphorylating specific substrates. Therefore, it is of great significance to properly detect …

Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes

W Qin, Y Li, J Li, L Yu, D Wu, R **g, X Pu… - … Biology and Chemistry, 2012 - Elsevier
Signal peptides play a crucial role in various biological processes, such as localization of
cell surface receptors, translocation of secreted proteins and cell–cell communication …