An overview of microRNAs
SM Hammond - Advanced drug delivery reviews, 2015 - Elsevier
The discovery of the first microRNA (miRNA) over 20 years ago has ushered in a new era in
molecular biology. There are now over 2000 miRNAs that have been discovered in humans …
molecular biology. There are now over 2000 miRNAs that have been discovered in humans …
Methods of MicroRNA promoter prediction and transcription factor mediated regulatory network
Y Zhao, F Wang, S Chen, J Wan… - BioMed research …, 2017 - Wiley Online Library
MicroRNAs (miRNAs) are short (~ 22 nucleotides) noncoding RNAs and disseminated
throughout the genome, either in the intergenic regions or in the intronic sequences of …
throughout the genome, either in the intergenic regions or in the intronic sequences of …
Multiobjective binary biogeography based optimization for feature selection using gene expression data
Gene expression data play an important role in the development of efficient cancer
diagnoses and classification. However, gene expression data are usually redundant and …
diagnoses and classification. However, gene expression data are usually redundant and …
[HTML][HTML] Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
Background As many complex omics data have been generated during the last two
decades, dimensionality reduction problem has been a challenging issue in better mining …
decades, dimensionality reduction problem has been a challenging issue in better mining …
A heuristic algorithm for identifying molecular signatures in cancer
Y Su, S Li, C Zheng, X Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Molecular signatures of cancer, eg, genes or microRNAs (miRNAs), have been recognized
very important in predicting the occurrence of cancer. From gene-expression and miRNA …
very important in predicting the occurrence of cancer. From gene-expression and miRNA …
Analyses of microRNA166 gene structure, expression, and function during the early stage of somatic embryogenesis in Dimocarpus longan Lour
QL Zhang, LY Su, ST Zhang, XP Xu, XH Chen… - Plant Physiology and …, 2020 - Elsevier
Abstract MicroRNA166 (miR166) contributes to post-transcriptional regulation by binding the
mRNAs of HD-ZIP III genes, which affects plant growth and development. The structural …
mRNAs of HD-ZIP III genes, which affects plant growth and development. The structural …
Regulation of miRNA processing and miRNA mediated gene repression in cancer
S Bajan, G Hutvagner - Microrna, 2014 - ingentaconnect.com
The majority of human protein-coding genes are predicted to be targets of miRNA-mediated
posttranscriptional regulation. The widespread influence of miRNAs is illustrated by their …
posttranscriptional regulation. The widespread influence of miRNAs is illustrated by their …
Multi-objective simplified swarm optimization with weighting scheme for gene selection
CM Lai - Applied Soft Computing, 2018 - Elsevier
Gene selection can be regarded as a multi-objective problem which involves both
minimizing the size of a gene subset and maximizing the prediction performance. This work …
minimizing the size of a gene subset and maximizing the prediction performance. This work …
Machine learning strategies in microRNA research: bridging genome to phenome
S Daniel Thomas, K Vijayakumar, L John… - OMICS: A Journal of …, 2024 - liebertpub.com
MicroRNAs (miRNAs) have emerged as a prominent layer of regulation of gene expression.
This article offers the salient and current aspects of machine learning (ML) tools and …
This article offers the salient and current aspects of machine learning (ML) tools and …
Nature-inspired multiobjective cancer subtype diagnosis
Cancer gene expression data is of great importance in cancer subtype diagnosis and drug
discovery. Many computational methods have been proposed to classify subtypes using …
discovery. Many computational methods have been proposed to classify subtypes using …