Genetics

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

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ODFormer: a Virtual Organoid for Predicting Personalized Therapeutic Responses in Pancreatic Cancer

Pancreatic cancer (PC) patient-derived organoids (PDOs) faithfully recapitulate therapeutic response...

Nanopore- and AI-empowered microbial viability inference

The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial f...

EPEPDI: prediction of binding free energy changes from missense mutations in double and single-stranded DNA-binding proteins

Predicting changes in binding free energy due to missense mutations (MMs) in protein-DNA interaction...

Directing cellular transitions on gene graph-enhanced cell state manifold

A select few genes act as pivotal drivers in the process of cell state transitions. However, finding...

Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC

Three-dimensional nuclear DNA architecture comprises well-studied intra-chromosomal (cis) folding an...

Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in Escherichia coli

DNA-damaging antibiotics like ciprofloxacin induce extensive double-strand breaks in Escherichia col...

f-BGM enables fungi-specific genome mining in high accuracy and interpretability

Emerging artificial intelligence (AI)-based genome mining methods have revolutionized the paradigm o...

smDeepFLUOR: Single-Molecule Deep Learning Fluorescence Classification

Fluorescence intensity variation has long served as a primary readout for monitoring biological even...

GLM-Prior: a nucleotide transformer model reveals prior knowledge as the driver of GRN inference performance

Gene regulatory network inference depends on high-quality prior-knowledge, yet curated priors are of...

Human whole epigenome modelling for clinical applications with Pleiades

Gene regulation in humans extends beyond the four letter genetic code. Cytosine methylation, in part...

Fully functional AAV viral vectors with highly altered structural cores and subunit interfaces using ProteinMPNN

Adeno-associated viruses (AAV) have emerged as a viable vector for gene therapy, with several clinic...

Multimodal Benchmarking of Foundation Model Representations for Cellular Perturbation Response Prediction

The decreasing cost of single-cell RNA sequencing (scRNA-seq) has enabled the collection of massive ...

Improvements to Casanovo, a deep learning de novo peptide sequencer

Casanovo is a state-of-the-art deep learning model for de novo peptide sequencing from mass spectrom...

Hybrid Generative Model: Bridging Machine Learning and Biophysics to Expand RNA Functional Diversity

Functional RNAs perform diverse catalytic roles, yet natural sequences represent only a narrow subse...

Under which circumstances do genomic neural networks learn motifs and their interactions?

The use of neural networks to model genomic data in sequence-to-function scenarios has soared over t...

GAME: Genomic API for Model Evaluation

The rapid expansion of genomics datasets and the application of machine learning has produced sequen...

Signatures of soft selective sweeps predominate in the yellow fever mosquito Aedes aegypti

The Aedes aegypti mosquito is a vector for human arboviruses and zoonotic diseases, such as yellow f...

Whole-genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis

Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to lack of clin...

The Fengshu Large Model for Wugu Fengdeng: An Innovation Engine for Knowledge Integration in the Soybean Field

Against the backdrop of global population growth and the continuous escalation of food demand, the a...

Cell-free DNA fragmentomic characteristics in transposon elements inform molecular regulators and enhance cancer diagnosis

Fragmentomics of plasma cell-free DNA (cfDNA) are emerging diagnostic biomarkers in cancer liquid bi...

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