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Genetics ML Papers

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Posts by Genetics ML Papers (@geneticsmlpapers.bsky.social)

MOKA: a pipeline for multiomics bridged SNP-set kernel association test https://academic.oup.com/g3journal/article/doi/10.1093/g3journal/jkaf296/8384368

02.03.2026 13:50 — 👍 0    🔁 0    💬 0    📌 0

A machine learning classifier to identify and prioritise genes associated with murine cardiac development https://journals.plos.org/plosgenetics/article

02.03.2026 13:45 — 👍 0    🔁 0    💬 0    📌 0

Octopamine signaling from clock neurons plays dual roles in Drosophila long-term memory https://journals.plos.org/plosgenetics/article

02.03.2026 13:40 — 👍 0    🔁 0    💬 0    📌 0



Identifying severe COVID-19 risk variants modulating enhancer reporter activity in lung cells

https://www.biorxiv.org/content/10.64898/2026.02.26.708234v1

02.03.2026 13:35 — 👍 1    🔁 0    💬 0    📌 0



Deep learning framework ChIANet predicts protein-mediated chromatin architecture across functional contexts

https://www.biorxiv.org/content/10.64898/2026.02.24.707640v1

02.03.2026 13:30 — 👍 0    🔁 0    💬 0    📌 0



AbiOmics: An End-to-End Pipeline to Train Machine Learning Models for Discrimination of Plant Abiotic Stresses Using Transcriptomic Profiling Data

https://www.biorxiv.org/content/10.64898/2026.02.25.707868v1

02.03.2026 13:25 — 👍 1    🔁 0    💬 0    📌 0



Achieving spatial multi-omics integration from unaligned serial sections with DIME

https://www.biorxiv.org/content/10.64898/2026.02.25.707961v1

02.03.2026 13:20 — 👍 0    🔁 0    💬 0    📌 0



Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples

https://www.biorxiv.org/content/10.64898/2026.02.26.708284v1

02.03.2026 13:15 — 👍 1    🔁 0    💬 0    📌 0

MOKA: a pipeline for multiomics bridged SNP-set kernel association test https://academic.oup.com/g3journal/article/doi/10.1093/g3journal/jkaf296/8384368

23.02.2026 14:24 — 👍 0    🔁 0    💬 0    📌 0

A machine learning classifier to identify and prioritise genes associated with murine cardiac development https://journals.plos.org/plosgenetics/article

23.02.2026 14:19 — 👍 0    🔁 0    💬 0    📌 0

Octopamine signaling from clock neurons plays dual roles in Drosophila long-term memory https://journals.plos.org/plosgenetics/article

23.02.2026 14:14 — 👍 0    🔁 0    💬 0    📌 0



Exploring RNA conformational ensembles in silico: progress and challenges

https://www.biorxiv.org/content/10.64898/2026.02.18.706514v1

23.02.2026 14:09 — 👍 0    🔁 0    💬 0    📌 0



Pan-cell-type prediction of splicing patterns from sequence and splicing factor expression

https://www.biorxiv.org/content/10.64898/2026.02.18.706660v1

23.02.2026 14:04 — 👍 0    🔁 0    💬 0    📌 0



Reconstructing multi-scale tissue spatial architecture from single-cell RNA-seq with REMAP

https://www.biorxiv.org/content/10.64898/2026.02.21.707167v1

23.02.2026 13:59 — 👍 0    🔁 0    💬 0    📌 0



SHAP-Guided CpG Selection with Ensemble Learning for Epigenetic Age Prediction

https://www.biorxiv.org/content/10.64898/2026.02.20.707142v1

23.02.2026 13:54 — 👍 0    🔁 0    💬 0    📌 0



Phylogenetic estimation of diversity-dependent biogeographic rates using deep learning

https://www.biorxiv.org/content/10.64898/2026.02.17.706216v1

23.02.2026 13:49 — 👍 0    🔁 0    💬 0    📌 0



Summary statistics and approximate bayesian computation are comparable to convolutional neural networks for inferring times to fixation

https://www.biorxiv.org/content/10.64898/2026.02.17.706432v1

23.02.2026 13:44 — 👍 0    🔁 0    💬 0    📌 0



Deep models of protein evolution in time generate realistic evolutionary trajectories and functional proteins

https://www.biorxiv.org/content/10.64898/2026.02.19.706898v1

23.02.2026 13:39 — 👍 0    🔁 0    💬 0    📌 0



Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

https://www.biorxiv.org/content/10.64898/2026.02.17.706490v1

23.02.2026 13:34 — 👍 0    🔁 0    💬 0    📌 0



A New Sparse Bayesian Quantile Neural Network-based Approach and Its Application to Discover Physiological Sweet Spots in the Canadian Longitudinal Study on Aging

https://www.biorxiv.org/content/10.64898/2026.02.19.706407v1

23.02.2026 13:29 — 👍 0    🔁 0    💬 0    📌 0



Fast and alignment-free flavivirus classification from low-coverage genomes

https://www.biorxiv.org/content/10.64898/2026.02.20.706982v1

23.02.2026 13:24 — 👍 0    🔁 0    💬 0    📌 0



How to gain valuable insight from scarce data with Machine Learning: a post-hoc explanation tool to identify biases in biological images classification

https://www.biorxiv.org/content/10.64898/2026.02.20.706981v1

23.02.2026 13:19 — 👍 0    🔁 0    💬 0    📌 0



Genomic-island cassette architecture drives pathogenic Enterococcus cecorum lineages: Cassette2Vec-EC, a structural genomics and machine-learning framework

https://www.biorxiv.org/content/10.64898/2026.02.21.707173v1

23.02.2026 13:14 — 👍 0    🔁 0    💬 0    📌 0

MOKA: a pipeline for multiomics bridged SNP-set kernel association test https://academic.oup.com/g3journal/article/doi/10.1093/g3journal/jkaf296/8384368

16.02.2026 14:15 — 👍 0    🔁 0    💬 0    📌 0

A machine learning classifier to identify and prioritise genes associated with murine cardiac development https://journals.plos.org/plosgenetics/article

16.02.2026 14:10 — 👍 0    🔁 0    💬 0    📌 0



Leveraging Foundation Models for the Characterisation of Small RNA Properties

https://www.biorxiv.org/content/10.64898/2026.02.08.704350v1

16.02.2026 14:05 — 👍 0    🔁 0    💬 0    📌 0



Genetic variation shapes human mRNA translation and disease risk

https://www.biorxiv.org/content/10.64898/2026.02.10.705206v1

16.02.2026 14:00 — 👍 0    🔁 0    💬 0    📌 0



CASTLE: Cell-type Aware SpaTial domain detection via contrastive Learning Embedding

https://www.biorxiv.org/content/10.64898/2026.02.12.705478v1

16.02.2026 13:55 — 👍 0    🔁 0    💬 0    📌 0



Machine learning-guided design of artificial microRNAs for targeted gene silencing

https://www.biorxiv.org/content/10.64898/2026.02.12.705546v1

16.02.2026 13:50 — 👍 0    🔁 0    💬 0    📌 0



MassID provides near complete annotation of metabolomics data with identification probabilities

https://www.biorxiv.org/content/10.64898/2026.02.11.704864v1

16.02.2026 13:45 — 👍 0    🔁 0    💬 0    📌 0