Genetics ML Papers
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Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins https://academic.oup.com/g3journal/article/doi/10.1093/g3journal/jkaf169/8211502
Genomic and hyperspectral imaging-based prediction blending enables selection for reduced deoxynivalenol content in wheat grains https://academic.oup.com/g3journal/article/doi/10.1093/g3journal/jkaf176/8223452
MyESL: A Software for Evolutionary Sparse Learning in Molecular Phylogenetics and Genomics https://academic.oup.com/mbe/article/doi/10.1093/molbev/msaf224/8254024


Deep learning models reading clinical data and liver omics strongly distinguish NASH from steatosis and suggest new genes involved in liver disease severity

https://www.biorxiv.org/content/10.1101/2025.10.10.681581v1


Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning

https://www.biorxiv.org/content/10.1101/2025.10.07.681052v1


Circulating DNA reveals nucleosome occupancy patterns that are associated with nucleosome-DNA affinity and are affected in cancer

https://www.biorxiv.org/content/10.1101/2025.10.08.681110v1


RNAcomp2D: a visual tool to compare multiple predictions of RNA secondary structure

https://www.biorxiv.org/content/10.1101/2025.10.08.681167v1


DeepEmbCas9: Cas9 coevolution and sgRNA structural information for CRISPR-Cas9 cleavage activity prediction

https://www.biorxiv.org/content/10.1101/2025.10.08.681228v1


Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information

https://www.biorxiv.org/content/10.1101/2025.10.09.681330v1


Integrating Mutation and Stop Signals for Improved RNA Structure Analysis and Insight Discovery

https://www.biorxiv.org/content/10.1101/2025.10.08.681285v1


Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models

https://www.biorxiv.org/content/10.1101/2025.10.09.681479v1


Leveraging protein representations to explore uncharted fold spaces with generative models

https://www.biorxiv.org/content/10.1101/2025.10.10.681606v1


Generation of synthetic scRNA-seq-like transcriptomes using a generative adversarial network from RNA-seq data

https://www.biorxiv.org/content/10.1101/2025.10.09.681449v1


A General Transformer-Based Multi-Task Learning Framework for Predicting Interaction Types between Enzyme and Small Molecule

https://www.biorxiv.org/content/10.1101/2025.10.09.681419v1


Kidney Tissue Characterization using Normalized Raman Imaging and Segment-Anything

https://www.biorxiv.org/content/10.1101/2025.10.09.681509v1


DeepCEF: A Deep Causal Estimation Framework for Complex Biological Systems Integrating Local Scores, Independence Tests, and Relation Attributes

https://www.biorxiv.org/content/10.1101/2025.10.09.681515v1


DEEPReditor-CMG: A deep-learning-based predictive RNA editor for crop mitochondria genomes

https://www.biorxiv.org/content/10.1101/2025.10.09.681429v1


Fine-tuning sequence to function deep learning models on large-scale proteomic data improves the accuracy of variant effect prediction

https://www.biorxiv.org/content/10.1101/2025.09.26.678908v1


A comprehensive functional landscape of α-tubulin TUBA1A variants illuminates microtubule biology and refines clinical classification

https://www.biorxiv.org/content/10.1101/2025.09.29.679168v1


Independent genomic trajectories shape adaptation to life on land across animal lineages

https://www.biorxiv.org/content/10.1101/2025.10.02.680026v1


Unsupervised learning of multi-omics data enables disease risk prediction in the UK Biobank

https://www.biorxiv.org/content/10.1101/2025.10.02.679853v1


Leveraging AI for facioscapulohumeral muscular dystrophy prediction and omics biomarker identification

https://www.biorxiv.org/content/10.1101/2025.10.01.679831v1


Protein Language Model-Aligned Spectra Embeddings for De Novo Peptide Sequencing

https://www.biorxiv.org/content/10.1101/2025.10.01.679857v1