Genetics

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

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Showing 1072-1092 of 10,366 articles
A multi-modal transformer for cell type-agnostic regulatory predictions.

Sequence-based deep learning models have emerged as powerful tools for deciphering the cis-regulator...

Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics.

The diagnostic landscape of brain tumors integrates comprehensive molecular markers alongside tradit...

scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering n...

Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.

In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architectu...

Unveiling genetic basis of seedling emergence from deep soil depth under dry direct- seeded conditions in rice ( L.).

Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...

Multimodal learning for mapping genotype-phenotype dynamics.

How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in b...

Caps-ac4C: An effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning.

N4-acetylcytidine (ac4C) is a crucial post-transcriptional modification in human mRNA, involving the...

Machine learning reveals the dynamic importance of accessory sequences for outbreak clustering.

UNLABELLED: Bacterial typing at whole-genome scales is now feasible owing to decreasing costs in hig...

MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.

Computational target identification plays a pivotal role in the drug development process. With the s...

Detecting IDH and TERTp mutations in diffuse gliomas using H-MRS with attention deep-shallow networks.

BACKGROUND: Preoperative and noninvasive detection of isocitrate dehydrogenase (IDH) and telomerase ...

Ethical and security challenges in AI for forensic genetics: From bias to adversarial attacks.

Forensic scientists play a crucial role in assigning probabilities to evidence based on competing hy...

Deep Learning-Assisted Fluorescence Single-Particle Detection of Fumonisin B Powered by Entropy-Driven Catalysis and Argonaute.

Timely and accurate detection of trace mycotoxins in agricultural products and food is significant f...

Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.

Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitinatio...

Single-cell RNA sequencing and machine learning provide candidate drugs against drug-tolerant persister cells in colorectal cancer.

Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise fr...

Psychophysiological foundations of human physical activity behavior and motivation: theories, systems, mechanisms, evolution, and genetics.

Physical activity is a meaningful part of life that starts before birth and lasts until death. There...

Intestinal Microbiome Modulation of Therapeutic Efficacy of Cancer Immunotherapy.

Bacteria are associated with certain cancers and may induce genetic instability and cancer progressi...

Recipes and ingredients for deep learning models of 3D genome folding.

Three-dimensional genome folding plays roles in gene regulation and disease. In this review, we comp...

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