Emerging applications of machine learning in genomic medicine and healthcare

N Chafai, L Bonizzi, S Botti… - Critical Reviews in Clinical …, 2024 - Taylor & Francis
The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

A hybrid CNN-LSTM model for pre-miRNA classification

A Tasdelen, B Sen - Scientific reports, 2021 - nature.com
Abstract miRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …

CL-PMI: A precursor MicroRNA identification method based on convolutional and long short-term memory networks

H Wang, Y Ma, C Dong, C Li, J Wang, D Liu - Frontiers in genetics, 2019 - frontiersin.org
MicroRNAs (miRNAs) are the major class of gene-regulating molecules that bind mRNAs.
They function mainly as translational repressors in mammals. Therefore, how to identify …

Predicting Drosha and Dicer Cleavage Sites with DeepMirCut

J Bell, DA Hendrix - Frontiers in Molecular Biosciences, 2022 - frontiersin.org
MicroRNAs are a class of small RNAs involved in post-transcriptional gene silencing with
roles in disease and development. Many computational tools have been developed to …

Detection of pre-microRNA with convolutional neural networks

J Cordero, V Menkovski, J Allmer - BioRxiv, 2019 - biorxiv.org
MicroRNAs (miRNAs) are small non-coding RNA sequences that have been implicated in
many physiological processes. Furthermore, miRNAs have been shown to be important …

[HTML][HTML] Description Generation Using Variational Auto-Encoders for Precursor microRNA

M Petković, V Menkovski - Entropy, 2024 - mdpi.com
Micro RNAs (miRNA) are a type of non-coding RNA involved in gene regulation and can be
associated with diseases such as cancer, cardiovascular, and neurological diseases. As …

miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification

S Lokuge, S Jayasundara, P Ihalagedara, I Kahanda… - Biosystems, 2022 - Elsevier
Abstract microRNAs (miRNAs) are known as one of the small non-coding RNA molecules
that control the expression of genes at the RNA level, while some operate at the DNA level …

[PDF][PDF] Towards concept-based interpretability of pre-mirna detection using convolutional neural networks

I Van den Brandt - 2021 - pure.tue.nl
Precursor microRNA (pre-miRNA) sequences are the precursors of microRNAs (miRNAs),
which are non-coding RNA sequences regulating gene expression in organisms …

Deep Learning Techniques for pre-miRNA prediction: Current Challenges and Future Directions

S Mohanty, S Mahapatra… - 2021 9th International …, 2021 - ieeexplore.ieee.org
Micro RNAs (miRNAs) are small non coding RNA sequences that incriminated in numerous
biological, anatomical processes and diseases. miRNAs are generally consisting of 20~ 23 …

[PDF][PDF] Detection of pre-micrornas with convolutional neural networks

JAC Cruz, V Menkovski, J Allmer - bioRxiv, 2020 - pure.tue.nl
MicroRNAs (miRNAs) are small non-coding RNA sequences that are able to regulate gene
expression and participate in many physiological processes such as regulation of …