miRNA targets: from prediction tools to experimental validation
G Riolo, S Cantara, C Marzocchi, C Ricci - Methods and protocols, 2020 - mdpi.com
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression in both animals
and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs …
and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs …
Innovative approaches in transforming microRNAs into therapeutic tools
AFA Samad, MF Kamaroddin - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
MicroRNA (miRNA) is regarded as a prominent genetic regulator, as it can fine‐tune an
entire biological pathway by targeting multiple target genes. This characteristic makes …
entire biological pathway by targeting multiple target genes. This characteristic makes …
Regulatory role of microRNAs (miRNAs) in the recent development of abiotic stress tolerance of plants
Y Begum - Gene, 2022 - Elsevier
MicroRNAs (miRNAs) are a distinct groups of single-stranded non-coding, tiny regulatory
RNAs approximately 20–24 nucleotides in length. miRNAs negatively influence gene …
RNAs approximately 20–24 nucleotides in length. miRNAs negatively influence gene …
Application of artificial intelligence in drug discovery
Due to the heap of data sets available for drug discovery, modern drug discovery has taken
the shape of big data. Usage of Artificial intelligence (AI) can help to modify drug discovery …
the shape of big data. Usage of Artificial intelligence (AI) can help to modify drug discovery …
The role of MicroRNAs in breast cancer and the challenges of their clinical application
MicroRNAs (miRNAs) constitute a subclass of non-coding RNAs that exert substantial
influence on gene-expression regulation. Their tightly controlled expression plays a pivotal …
influence on gene-expression regulation. Their tightly controlled expression plays a pivotal …
Inferring microRNA regulation: A proteome perspective
Post-transcriptional regulation in multicellular organisms is mediated by microRNAs.
However, the principles that determine if a gene is regulated by miRNAs are poorly …
However, the principles that determine if a gene is regulated by miRNAs are poorly …
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 …
Machine-learning-based analysis identifies miRNA expression profile for diagnosis and prediction of colorectal cancer: a preliminary study
D Pawelka, I Laczmanska, P Karpinski… - Cancer Genomics & …, 2022 - cgp.iiarjournals.org
Background: The stage of colorectal cancer (CRC) at the day of diagnosis has the greatest
influence on survival rate. Thus, for CRC, which is mainly identified as advanced disease …
influence on survival rate. Thus, for CRC, which is mainly identified as advanced disease …
Popular computational tools used for miRNA prediction and their future development prospects
T Yu, N Xu, N Haque, C Gao, W Huang… - Interdisciplinary Sciences …, 2020 - Springer
Abstract MicroRNAs (miRNAs) are 19–24 nucleotide (nt)-long noncoding, single-stranded
RNA molecules that play significant roles in regulating the gene expression, growth, and …
RNA molecules that play significant roles in regulating the gene expression, growth, and …
The ethics of machine learning-based clinical decision support: an analysis through the lens of professionalisation theory
NB Heyen, S Salloch - BMC Medical Ethics, 2021 - Springer
Background Machine learning-based clinical decision support systems (ML_CDSS) are
increasingly employed in various sectors of health care aiming at supporting clinicians' …
increasingly employed in various sectors of health care aiming at supporting clinicians' …