Predicting novel microRNA: a comprehensive comparison of machine learning approaches
Motivation The importance of microRNAs (miRNAs) is widely recognized in the community
nowadays because these short segments of RNA can play several roles in almost all …
nowadays because these short segments of RNA can play several roles in almost all …
Hepatitis B Virus and microRNAs: A Bioinformatics Approach
In recent decades, microRNAs (miRNAs) have emerged as key regulators of gene
expression, and the identification of viral miRNAs (v-miRNAs) within some viruses, including …
expression, and the identification of viral miRNAs (v-miRNAs) within some viruses, including …
On the performance of pre-microRNA detection algorithms
MicroRNAs are crucial for post-transcriptional gene regulation, and their dysregulation has
been associated with diseases like cancer and, therefore, their analysis has become …
been associated with diseases like cancer and, therefore, their analysis has become …
Deep neural architectures for highly imbalanced data in bioinformatics
In the postgenome era, many problems in bioinformatics have arisen due to the generation
of large amounts of imbalanced data. In particular, the computational classification of …
of large amounts of imbalanced data. In particular, the computational classification of …
Novel SARS-CoV-2 encoded small RNAs in the passage to humans
Abstract Motivation The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2)
has recently emerged as the responsible for the pandemic outbreak of the coronavirus …
has recently emerged as the responsible for the pandemic outbreak of the coronavirus …
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 class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM
G Stegmayer, C Yones, L Kamenetzky… - … /ACM transactions on …, 2016 - ieeexplore.ieee.org
The computational prediction of novel microRNA within a full genome involves identifying
sequences having the highest chance of being a miRNA precursor (pre-miRNA). These …
sequences having the highest chance of being a miRNA precursor (pre-miRNA). These …
MicroRNA categorization using sequence motifs and k-mers
Background Post-transcriptional gene dysregulation can be a hallmark of diseases like
cancer and microRNAs (miRNAs) play a key role in the modulation of translation efficiency …
cancer and microRNAs (miRNAs) play a key role in the modulation of translation efficiency …
Alternative use of miRNA-biogenesis co-factors in plants at low temperatures
Plants use molecular mechanisms to sense temperatures, trigger quick adaptive responses
and thereby cope with environmental changes. MicroRNAs (miRNAs) are key regulators of …
and thereby cope with environmental changes. MicroRNAs (miRNAs) are key regulators of …