Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning
Motivation The genome-wide discovery of microRNAs (miRNAs) involves identifying
sequences having the highest chance of being a novel miRNA precursor (pre-miRNA) …
sequences having the highest chance of being a novel miRNA precursor (pre-miRNA) …
Robust and efficient COVID-19 detection techniques: A machine learning approach
The devastating impact of the Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-
CoV-2) pandemic almost halted the global economy and is responsible for 6 million deaths …
CoV-2) pandemic almost halted the global economy and is responsible for 6 million deaths …
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs
Motivation MicroRNAs (miRNAs) are small RNA sequences with key roles in the regulation
of gene expression at post-transcriptional level in different species. Accurate prediction of …
of gene expression at post-transcriptional level in different species. Accurate prediction of …
[HTML][HTML] Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19
Abstract The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) has been
recently found responsible for the pandemic outbreak of a novel coronavirus disease …
recently found responsible for the pandemic outbreak of a novel coronavirus disease …
High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks
MicroRNAs (miRNAs) are small non-coding RNAs that have a key role in the regulation of
gene expression. The importance of miRNAs is widely acknowledged by the community …
gene expression. The importance of miRNAs is widely acknowledged by the community …
HextractoR: an R package for automatic extraction of hairpins from genome-wide data
C Yones, N Macchiaroli, L Kamenetzky, G Stegmayer… - bioRxiv, 2020 - biorxiv.org
Extracting stem-loop sequences (hairpins) from genome-wide data is very important
nowadays for some data mining tasks in bioinformatics. The genome preprocessing is very …
nowadays for some data mining tasks in bioinformatics. The genome preprocessing is very …