Genetics

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

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Showing 2815-2835 of 11,092 articles
Identification of endocrine-disrupting chemicals targeting key OP-associated genes via bioinformatics and machine learning.

Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...

Oct 2024 39383820
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites.

Pseudouridine is a type of abundant RNA modification that is seen in many different animals and is c...

Oct 2024 38625768
Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics.

DNA damage is a critical factor in the onset and progression of cancer. When DNA is damaged, the num...

Oct 2024 38691429
Machine learning in the prevention of heart failure.

Heart failure (HF) is a global pandemic with a growing prevalence and is a growing burden on the hea...

Oct 2024 39373822
Representation of non-coding RNA-mediated regulation of gene expression using the Gene Ontology.

Regulatory non-coding RNAs (ncRNAs) are increasingly recognized as integral to the control of biolog...

Oct 2024 39374113
Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to eva...

Oct 2024 39369684
The role of lactylation in plasma cells and its impact on rheumatoid arthritis pathogenesis: insights from single-cell RNA sequencing and machine learning.

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by persistent...

Oct 2024 39421742
Peripheral Blood Mononuclear Cell Biomarkers for Major Depressive Disorder: A Transcriptomic Approach.

Major depressive disorder (MDD) is a complex condition characterized by persistent depressed mood, ...

Oct 2024 40226717
scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks.

Cancer is a significant global public health concern, where early detection can greatly enhance cura...

Sep 2024 39348073
Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations.

Transcriptome-wide association studies (TWAS) aim to uncover genotype-phenotype relationships throug...

Sep 2024 39344923
Machine learning optimized DriverDetect software for high precision prediction of deleterious mutations in human cancers.

The detection of cancer-driving mutations is important for understanding cancer pathology and therap...

Sep 2024 39349509
Predicting RNA sequence-structure likelihood via structure-aware deep learning.

BACKGROUND: The active functionalities of RNA are recognized to be heavily dependent on the structur...

Sep 2024 39350066
Capture of RNA-binding proteins across mouse tissues using HARD-AP.

RNA-binding proteins (RBPs) modulate all aspects of RNA metabolism, but a comprehensive picture of R...

Sep 2024 39341811
Wfold: A new method for predicting RNA secondary structure with deep learning.

Precise estimations of RNA secondary structures have the potential to reveal the various roles that ...

Sep 2024 39341115
Identification of common biomarkers in diabetic kidney disease and cognitive dysfunction using machine learning algorithms.

Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney ...

Sep 2024 39333211
Generative language models on nucleotide sequences of human genes.

Language models, especially transformer-based ones, have achieved colossal success in natural langua...

Sep 2024 39333252
Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis.

The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma ...

Sep 2024 39333719
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