Genetics

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

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Control of a Bi-Stable Genetic System via Parallelized Reinforcement Learning

Achieving real-time control of genetic systems is critical for improving the reliability, efficiency...

Intra-genomic genes-to-genes correlation enables bacterial genome representation

The bacterial pan-genome consists of core genes shared by all members of a taxonomy and accessory ge...

A Transparent and Generalizable Deep Learning Framework for Genomic Ancestry Prediction

Accurately capturing genetic ancestry is critical for ensuring reproducibility and fairness in genom...

Accurate and robust classification of Mycobacterium bovis-infected cattle using peripheral blood RNA-seq data

The zoonotic bacterium, Mycobacterium bovis, causes bovine tuberculosis (bTB) and is closely related...

scXpand: Pan-cancer detection of T-cell clonal expansion from single-cell RNA sequencing without paired single-cell TCR sequencing

Advances in single-cell sequencing have enabled detailed characterization of T-cell clonal dynamics ...

Alzheimer’s subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study

Since Alzheimer’s disease (AD) is a heterogeneous disease, different subtypes may have distinct biol...

CoBRA: Compound Binding Site Prediction using RNA Language Model

Ribonucleic acid (RNA) molecules perform a variety of functions within cells and thus implicated in ...

multiDEGGs: a multi-omic differential network analysis package for biomarker discovery and predictive modeling

Modern clinical trials increasingly leverage high-throughput omic data for patient stratification an...

Fourier transform infrared spectroscopy enables rapid species discrimination across Malassezia and strain-level typing in M. pachydermatis

Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many m...

Comparative Machine Learning Analysis of Saliva and Plaque Microbiomes in Children with Type 1 Diabetes

Type 1 diabetes (T1D) is associated with microbial dysbiosis. While most research has focused on the...

Chromatin and gene-regulatory dynamics of human pulmogenesis by single cell multiomic sequencing

Human lung development is governed by complex gene regulatory networks that orchestrate cellular dif...

Machine learning and multi-omic analysis reveal contrasting recombination landscape of A and C subgenomes of winter oilseed rape

Meiotic recombination is essential for generating genetic diversity, driving plant evolution, and en...

MetaChrome: An Open-Source, User-Friendly Tool for Automated Metaphase Chromosome Analysis

DNA Fluorescence In Situ Hybridization (FISH) is an essential technique to study chromosome biology ...

Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age

Histological images offer a wealth of data. Mining these data holds significant potential for enhanc...

Modulation of specific interactions within a viral fusion protein predicted from machine learning blocks membrane fusion

Enveloped viruses must enter host cells to initiate infections through a fusion process, during whic...

Lung Adenocarcinoma Just Desserts: An Expanding Pie of Activating Oncogenes or a Layer Cake of Integrated Alterations

The molecular landscape of lung adenocarcinoma (LUAD) is often summarized as a “pie chart” of driver...

Novel Machine Learning-based Approach to Identify Viral Biomarkers of Human Respiratory Emissions from Oral and Nasal Metagenomes

Humans spend approximately 90% of their lives in built environments, making virus transmission indoo...

Benchmarking large language models for genomic knowledge with GeneTuring

Large language models (LLMs) show promise in biomedical research, but their effectiveness for genomi...

Data-efficient protein mutational effect prediction with weak supervision by molecular simulation and protein language models

Machine learning-based protein mutational effect prediction is widely used in protein engineering an...

PathPCNet: Pathway Principal Component-Based Interpretable Framework for Drug Sensitivity Prediction

Precision medicine aims to identify significant biomarkers and effective drugs tailored to individua...

Small Molecule Approach to RNA Targeting Binder Discovery (SMARTBind) Using Deep Learning Without Structural Input

Accurate identification of small molecule binders to RNA is critical for chemical probes and therape...

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