Genetics

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

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Design principles of neuromorphic computing using genetic circuits

Cells have evolved to sense a wide range of input combinations and integrate those signals through s...

Evaluation of a structure-based method for ab initio gene detection using deep learning

In this work, a novel method for the detection of exons within genomic DNA sequences was implemented...

Enigma: An Efficient Model for Deciphering Regulatory Genomics

Genomic sequence-to-function models have emerged as powerful tools for deciphering cis-regulatory gr...

AlphaRING-X: accurate interpretation of missense variant deleteriousness based on protein structural stability

Accurate interpretation of missense variants remains a significant challenge hindering genomic diagn...

Social isolation upregulates takeout expression in female Drosophila melanogaster to promote sucrose feeding

Drosophila melanogaster provides a model system to examine how environmental stress interacts with s...

Comparative Analysis of Feature Selection Methods for Single-Cell RNA Sequencing Data

Feature selection is a critical preprocessing step in single-cell RNA sequencing (scRNA-seq) analysi...

Sequence-based models for RNA-Protein interactions imputation might be insufficient for novel signal prediction in eCLIP data

Predicting specific RNA-protein interactions remains a challenging task: despite the existence of nu...

Generative AI Enables Breast Cancer Genomic Subtype Prediction from Histology Images

Breast cancer subtyping is essential for precision oncology, influencing prognosis, treatment select...

Mut-BPE: A Modified BPE Strategy Improves Variant Effect Prediction

Byte Pair Encoding (BPE) is widely used in genome foundation models for its ability to compress long...

Predictive design of tissue-specific mammalian enhancers that function in vivo in the mouse embryo

Enhancers control tissue-specific gene expression across metazoans. Although deep learning has enabl...

Asymmetric Cross-Reactivity of Nuclear Receptors Reveals an Evolutionary Buffer Between Estrogen and Androgen Signaling

A comprehensive all-by-all receptor ligand affinity screen using Boltz-2, a deep learning framework ...

Structure and evolution-guided design of minimal RNA-guided nucleases

The design of RNA-guided nucleases with properties not limited by evolution can expand programmable ...

Helix: a structure-aware deep learning model for accurate prediction of A-to-I RNA editing by endogenous ADARs

Adenosine deaminase acting on RNA (ADAR) converts adenosine to inosine within double-stranded RNA (d...

Epigenetic profile drives accurate survival prediction in breast cancer via a multi-omics machine learning model

Accurate overall survival (OS) prediction is key for personalized treatment in breast cancer, but mu...

AI-based Predictive Signaling Pathway Profiling in Cardiac Fibrosis Suggests a Novel Combinatorial Treatment Strategy

Cardiovascular disease (CVD) remains the leading cause of global mortality, with myocardial fibrosis...

GatorSC: Multi-Scale Cell and Gene Graphs with Mixture-of-Experts Fusion for Single-Cell Transcriptomics

Single-cell RNA sequencing (scRNA-seq) enables high-resolution characterization of cellular heteroge...

Ensembles of Graph Neural Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance

Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction ...

Integrative multiomic analysis on single-nucleotide variants identifies candidate genes for human craniofacial malformation

Craniofacial malformation (CFM) is a congenital defect encompassing a wide range of phenotypic prese...

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