Genetics

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

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Machine Learning Ensemble Reveals Distinct Molecular Pathways of Retinal Damage in Spaceflown Mice

Spaceflight-associated neuro-ocular syndrome (SANS) threatens astronaut health during long-duration ...

Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer

Deep neural networks are vulnerable to adversarial examples--inputs with imperceptible perturbations...

HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction

Predicting spatial gene expression from H&E histology offers a scalable and clinically accessible al...

PIMO: Pathway-based Interpretable Multi-Omics interactions for multi-omics integration

Motivation: Modeling inter-omics interactions across multiple molecular levels is critical for decip...

Machine Learning Method for Optimizing Coding Sequences in Mammalian Cells

Mammalian cell lines are the preferred hosts for producing commercially relevant therapeutic protein...

Feature Projection Learning for Better Vision-Language Reasoning

Vision-Language Pre-Trained models, notably CLIP, that utilize contrastive learning have proven high...

Reversible Efficient Diffusion for Image Fusion

Multi-modal image fusion aims to consolidate complementary information from diverse source images in...

WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport

Reconstructing dynamical evolution from limited observations is a fundamental challenge in single-ce...

BULLKpy: An AnnData-Inspired Unified Framework for Comprehensive Bulk OMICs Analysis

Bulk OMICs data, such as RNA-seq and proteomics, remain foundational in biomedical and cancer resear...

Prioritizing DNA methylation biomarkers using graph neural networks and explainable AI

DNA methylation is a significant epigenetic modification involving the addition of a methyl group to...

scChat: A Large Language Model-Powered Co-Pilot for Contextualized Single-Cell RNA Sequencing Analysis

Single-cell RNA sequencing (scRNA-seq) has transformed biomedical research by enabling transcriptomi...

From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation

Adapting Large Language Models (LLMs) to specialized domains without human-annotated data is a cruci...

Behavioral Assessment Reliability in Clinical Phenotyping and Biomarker Research for Autism

Autism Spectrum Disorder standardized behavioral assessments provide quantitative measures of sympto...

FusionPath: Gene fusion pathogenicity prediction using protein structural data and contextual protein embeddings

Accurate prediction of gene fusion pathogenicity is critical for understanding oncogenic mechanisms ...

Transcriptomic profiling reveals neurophysiological gene candidates underlying vocal evolution in African clawed frogs

Neurophysiologists have discovered many mechanisms underlying the production of animal behaviors in ...

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

Background: Accurate determination of genomic biomarkers from tumor sequencing is fundamental to pre...

Nonlinear multi-study factor analysis

High-dimensional data often exhibit variation that can be captured by lower dimensional factors. For...

Regulatory Hub Discovery in MDD Methylome: Hypotheses for Molecular Subtypes via Computational Analysis

Major Depressive Disorder (MDD) is a clinically heterogeneous syndrome with diverse etiological path...

NanoSimFormer: An end-to-end Transformer-based simulator for nanopore sequencing signal data

Nanopore sequencing has achieved a new standard of accuracy with the advent of R10.4.1 flow cell and...

The marine microbiome can accurately predict its chemical and biological environment

The microbiome responds to physicochemical changes in the environment, making it a sensitive indicat...

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