Genetics

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

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Explainable machine learning models enhance prediction of PFAS bioactivity using quantitative molecular surface analysis-derived representation.

The extensive use of per- and polyfluoroalkyl substances (PFAS) in industrial and consumer products ...

Genetically encoded sensors illuminate detection for neurotransmission: Development, application, and optimization strategies.

Limitations in existing tools have hindered neuroscientists from achieving a deeper understanding of...

Thermal Adaptation of Cytosolic Malate Dehydrogenase Revealed by Deep Learning and Coevolutionary Analysis.

Protein evolution has shaped enzymes that maintain stability and function across diverse thermal env...

Validation of OncoOrigin: An Integrative AI Tool for Primary Cancer Site Prediction with Graphical User Interface to Facilitate Clinical Application.

Cancers of unknown primary (CUPs) represent a significant diagnostic and therapeutic challenge in th...

Accelerated Missense Mutation Identification in Intrinsically Disordered Proteins Using Deep Learning.

We use a combination of Brownian dynamics (BD) simulation results and deep learning (DL) strategies ...

GramSeq-DTA: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information.

Drug-target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful represe...

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...

Improving genetic variant identification for quantitative traits using ensemble learning-based approaches.

BACKGROUND: Genome-wide association studies (GWAS) are rapidly advancing due to the improved resolut...

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...

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...

Adapting systems biology to address the complexity of human disease in the single-cell era.

Systems biology aims to achieve holistic insights into the molecular workings of cellular systems th...

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

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

Equitable machine learning counteracts ancestral bias in precision medicine.

Gold standard genomic datasets severely under-represent non-European populations, leading to inequit...

Transcriptome analysis reveals the potential role of neural factor EN1 for long-terms survival in estrogen receptor-independent breast cancer.

Breast cancer patients with estrogen receptor-negative (ERneg) status, encompassing triple negative ...

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...

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...

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 ...

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 ...

Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.

The ability to assign biological samples to source populations with high accuracy and precision base...

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