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 …
Small RNA targets: advances in prediction tools and high-throughput profiling
Simple Summary MicroRNAs (miRNAs) are a category of small RNAs (sRNAs) that have
been found to regulate gene expression. Through the mediation of proteins from the …
been found to regulate gene expression. Through the mediation of proteins from the …
What variables are important in predicting bovine viral diarrhea virus? A random forest approach
Bovine viral diarrhea virus (BVDV) causes one of the most economically important diseases
in cattle, and the virus is found worldwide. A better understanding of the disease associated …
in cattle, and the virus is found worldwide. A better understanding of the disease associated …
P-TarPmiR accurately predicts plant-specific miRNA targets
V Ajila, L Colley, DT Ste-Croix, N Nissan, A Golshani… - Scientific Reports, 2023 - nature.com
Abstract microRNAs (miRNAs) are small non-coding ribonucleic acids that post-
transcriptionally regulate gene expression through the targeting of messenger RNA …
transcriptionally regulate gene expression through the targeting of messenger RNA …
Diagnostic model generated by MRI‐derived brain features in toddlers with autism spectrum disorder
X Xiao, H Fang, J Wu, CY Xiao, T Xiao, L Qian… - Autism …, 2017 - Wiley Online Library
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder mainly showed
atypical social interaction, communication, and restricted, repetitive patterns of behavior …
atypical social interaction, communication, and restricted, repetitive patterns of behavior …
Species-specific microRNA discovery and target prediction in the soybean cyst nematode
The soybean cyst nematode (SCN) is a devastating pathogen for economic and food
security considerations. Although the SCN genome has recently been sequenced, the …
security considerations. Although the SCN genome has recently been sequenced, the …
[HTML][HTML] Identification of prognostic biomarkers in glioblastoma using a long non-coding RNA-mediated, competitive endogenous RNA network
Glioblastoma multiforme (GBM) is a highly malignant brain tumor associated with a poor
prognosis. Cross-talk between competitive endogenous RNAs (ceRNAs) plays a critical role …
prognosis. Cross-talk between competitive endogenous RNAs (ceRNAs) plays a critical role …
RPmirDIP: Reciprocal Perspective improves miRNA targeting prediction
MicroRNAs (miRNAs) are short, non-coding RNAs that interact with messenger RNA
(mRNA) to accomplish critical cellular activities such as the regulation of gene expression …
(mRNA) to accomplish critical cellular activities such as the regulation of gene expression …
Improving miRNA-mRNA interaction predictions
D Tabas-Madrid, A Muniategui, I Sánchez-Caballero… - BMC genomics, 2014 - Springer
Background MicroRNAs are short RNA molecules that post-transcriptionally regulate gene
expression. Today, microRNA target prediction remains challenging since very few have …
expression. Today, microRNA target prediction remains challenging since very few have …
Comparative Analyses between Retained Introns and Constitutively Spliced Introns in Arabidopsis thaliana Using Random Forest and Support Vector Machine
One of the important modes of pre-mRNA post-transcriptional modification is alternative
splicing. Alternative splicing allows creation of many distinct mature mRNA transcripts from a …
splicing. Alternative splicing allows creation of many distinct mature mRNA transcripts from a …