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Emerging applications of machine learning in genomic medicine and healthcare
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 …
and genomic medicine in recent years. The significant increase in computing power has …
A hybrid CNN-LSTM model for pre-miRNA classification
Abstract miRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …
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 …
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 …
roles in disease and development. Many computational tools have been developed to …
Detection of pre-microRNA with convolutional neural networks
MicroRNAs (miRNAs) are small non-coding RNA sequences that have been implicated in
many physiological processes. Furthermore, miRNAs have been shown to be important …
many physiological processes. Furthermore, miRNAs have been shown to be important …
[HTML][HTML] Description Generation Using Variational Auto-Encoders for Precursor microRNA
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 …
associated with diseases such as cancer, cardiovascular, and neurological diseases. As …
miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification
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 …
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 …
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 …
biological, anatomical processes and diseases. miRNAs are generally consisting of 20~ 23 …
[PDF][PDF] Detection of pre-micrornas with convolutional neural networks
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 …
expression and participate in many physiological processes such as regulation of …