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 …
Computational resources for prediction and analysis of functional miRNA and their targetome
Abstract microRNAs are evolutionarily conserved, endogenously produced, noncoding
RNAs (ncRNAs) of approximately 19–24 nucleotides (nts) in length known to exhibit gene …
RNAs (ncRNAs) of approximately 19–24 nucleotides (nts) in length known to exhibit gene …
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA)
sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is …
sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is …
Computational methods for predicting mature microRNAs
Tiny single-stranded noncoding RNAs with size 19–27 nucleotides serve as microRNAs
(miRNAs), which have emerged as key gene regulators in the last two decades. miRNAs …
(miRNAs), which have emerged as key gene regulators in the last two decades. miRNAs …
Improving classification of mature microRNA by solving class imbalance problem
Y Wang, X Li, B Tao - Scientific reports, 2016 - nature.com
Abstract MicroRNAs (miRNAs) are~ 20–25 nucleotides non-coding RNAs, which regulated
gene expression in the post-transcriptional level. The accurate rate of identifying the start sit …
gene expression in the post-transcriptional level. The accurate rate of identifying the start sit …
Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features
Y Wang, J Ru, Y Jiang, J Zhang - Scientific reports, 2019 - nature.com
The significant role of microRNAs (miRNAs) in various biological processes and diseases
has been widely studied and reported in recent years. Several computational methods …
has been widely studied and reported in recent years. Several computational methods …
An approach to identify individual functional single nucleotide polymorphisms and isoform MicroRNAs
Y Wang, J Ru, T Jin, M Sun, L Jia… - BioMed Research …, 2019 - Wiley Online Library
MicroRNAs (miRNAs) and single nucleotide polymorphisms (SNPs) play important roles in
disease risk and development, especially cancer. Importantly, when SNPs are located in pre …
disease risk and development, especially cancer. Importantly, when SNPs are located in pre …
GeneAI 3.0: Powerful, Novel, Generalized Hybrid and Ensemble Deep Learning Frameworks for miRNA Classification of species-specific Stationary Patterns from …
Abstract Background and Motivation: Due to the intricate relationship between the small non-
coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely …
coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely …
[HTML][HTML] 利用基因表达值相对大小秩序标志鉴别肺癌
燕花陈， 宝童郑， 云轻林， 慧敏朱， 智军郑… - Sheng Wu Yi Xue …, 2017 - ncbi.nlm.nih.gov
在应用基于转录组特征构建的支持向量机、 贝叶斯分类器等传统分类器对组织样本进行分类时，
要求对基因表达谱进行样本间的数据标准化处理， 以去除实验批次效应带来的影响 …
要求对基因表达谱进行样本间的数据标准化处理， 以去除实验批次效应带来的影响 …
A signature based on relative gene expression orderings for lung cancer diagnosis
Y Chen, B Zheng, Y Lin, H Zhu, Z Zheng… - Sheng wu yi xue …, 2017 - europepmc.org
在应用基于转录组特征构建的支持向量机, 贝叶斯分类器等传统分类器对组织样本进行分类时,
要求对基因表达谱进行样本间的数据标准化处理, 以去除实验批次效应带来的影响 …
要求对基因表达谱进行样本间的数据标准化处理, 以去除实验批次效应带来的影响 …