A multi-omics machine learning framework in predicting the survival of colorectal cancer patients
M Yang, H Yang, L Ji, X Hu, G Tian, B Wang… - Computers in biology and …, 2022 - Elsevier
Background Colorectal cancer (CRC), the 3rd most universal cancer globally, accounts for
approximately 10% of newly diagnosed cancer incidences each year. Identifying biomarkers …
approximately 10% of newly diagnosed cancer incidences each year. Identifying biomarkers …
[HTML][HTML] Machine learning approaches for plant miRNA prediction: challenges, advancements, and future directions
Z Kuang, Y Zhao, X Yang - Agriculture Communications, 2023 - Elsevier
MicroRNA (miRNA) is an important regulator of gene expression in plants that functions to
regulate plant development and growth. Signature sequences and secondary structures that …
regulate plant development and growth. Signature sequences and secondary structures that …
Benchmarking machine learning robustness in COVID-19 genome sequence classification
The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of
sequence data of the SARS-CoV-2 genome—millions of sequences and counting. This …
sequence data of the SARS-CoV-2 genome—millions of sequences and counting. This …
Plant microRNAs: Unexplored biogenesis, prediction tools and applications
Microribonucleic acids (miRNAs) are trans-acting tiny supervisory molecules that are under
the control of their own regulatory units. MicroRNA biogenesis in plants is intricate and …
the control of their own regulatory units. MicroRNA biogenesis in plants is intricate and …
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 …
ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree
Y Li, D Ma, D Chen, Y Chen - Frontiers in Genetics, 2023 - frontiersin.org
Cancer is one of the most dangerous diseases in the world, killing millions of people every
year. Drugs composed of anticancer peptides have been used to treat cancer with low side …
year. Drugs composed of anticancer peptides have been used to treat cancer with low side …
Role of long non-coding RNA in regulating ER stress response to the progression of diabetic complications
R Vijayalalitha, TCA Archita, GR Juanitaa… - Current Gene …, 2023 - ingentaconnect.com
Chronic hyperglycemia damages the nerves and blood vessels, culminating in other
vascular complications. Such complications enhance cytokine, oxidative and endoplasmic …
vascular complications. Such complications enhance cytokine, oxidative and endoplasmic …
miWords: transformer-based composite deep learning for highly accurate discovery of pre-miRNA regions across plant genomes
Discovering pre-microRNAs (miRNAs) is the core of miRNA discovery. Using traditional
sequence/structural features, many tools have been published to discover miRNAs …
sequence/structural features, many tools have been published to discover miRNAs …
pmiRScan: a LightGBM based method for prediction of animal pre-miRNAs
A Venkatesan, J Basak, RP Bahadur - Functional & Integrative Genomics, 2025 - Springer
MicroRNAs (miRNA) are categorized as short endogenous non-coding RNAs, which have a
significant role in post-transcriptional gene regulation. Identifying new animal precursor …
significant role in post-transcriptional gene regulation. Identifying new animal precursor …