Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Showing 2374-2394 of 11,076 articles
Utilization of Machine Learning in the Prediction, Diagnosis, Prognosis, and Management of Chronic Myeloid Leukemia.

Chronic myeloid leukemia is a clonal hematologic disease characterized by the presence of the Philad...

Mar 2025 40141176
SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants.

Structural variations (SVs) are diverse forms of genetic alterations and drive a wide range of human...

Mar 2025 40069188
RBPsuite 2.0: an updated RNA-protein binding site prediction suite with high coverage on species and proteins based on deep learning.

BACKGROUND: RNA-binding proteins (RBPs) play crucial roles in many biological processes, and computa...

Mar 2025 40069726
Genomic selection in pig breeding: comparative analysis of machine learning algorithms.

BACKGROUND: The effectiveness of genomic prediction (GP) significantly influences breeding progress,...

Mar 2025 40065232
Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Despite ad...

Mar 2025 40064251
Machine learning uncovers the transcriptional regulatory network for the production host Streptomyces albidoflavus.

Streptomyces albidoflavus is a widely used strain for natural product discovery and production throu...

Mar 2025 40057950
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs.

G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in ...

Mar 2025 40056143
BacTermFinder: a comprehensive and general bacterial terminator finder using a CNN ensemble.

A terminator is a DNA region that ends the transcription process. Currently, multiple computational ...

Mar 2025 40060369
Screening and validating genes associated with cuproptosis in systemic lupus erythematosus by expression profiling combined with machine learning.

Cell death has long been a focal point in life sciences research, and recently, scientists have disc...

Mar 2025 39388708
Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor...

Mar 2025 40055377
A deep-learning model for quantifying circulating tumour DNA from the density distribution of DNA-fragment lengths.

The quantification of circulating tumour DNA (ctDNA) in blood enables non-invasive surveillance of c...

Mar 2025 40055581
Machine-learning assisted discovery unveils novel interplay between gut microbiota and host metabolic disturbance in diabetic kidney disease.

Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between th...

Mar 2025 40050256
DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence.

Laboratory-based detection of D sites is laborious and expensive. In this study, we developed effect...

Mar 2025 40057221
EVlncRNA-net: A dual-channel deep learning approach for accurate prediction of experimentally validated lncRNAs.

Long non-coding RNAs (lncRNAs) play key roles in numerous biological processes and are associated wi...

Mar 2025 40043997
Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids.

Genotype, environment, and genotype-by-environment (G×E) interactions play a critical role in shapin...

Mar 2025 40047344
An extensive review on infectious disease diagnosis using machine learning techniques and next generation sequencing: State-of-the-art and perspectives.

UNLABELLED: Infectious diseases, including tuberculosis (TB), HIV/AIDS, and emerging pathogens like ...

Mar 2025 40054170
TARSL: Triple-Attention Cross-Network Representation Learning to Predict Synthetic Lethality for Anti-Cancer Drug Discovery.

Cancer is a multifaceted disease that results from co-mutations of multi biological molecules. A pro...

Mar 2025 37603479
A machine learning approach to predict treatment efficacy and adverse effects in major depression using CYP2C19 and clinical-environmental predictors.

BACKGROUND: Major depressive disorder (MDD) is among the leading causes of disability worldwide and ...

Mar 2025 40008580
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