Khabre branded placeholder image

science

EpiZoo model uses DNA sequence to compare single-cell epigenomics across species

A bioRxiv preprint introduces EpiZoo, a 2.6-billion-parameter model trained on about 20.9 million single cells from multiple species. Its authors report performance on several single-cell analysis tasks and describe applications in comparing regulatory patterns and prioritising cancer mutations.

Khabre branded placeholder image

science

Atlas maps gene regulation across 21 adult human tissues

Researchers report a single-nucleus atlas spanning 21 adult human tissues and four donors, combining gene-expression and chromatin-accessibility data. It maps candidate regulatory elements and gene links, and uses sequence-to-function models to predict effects of fine-mapped variants.

Khabre branded placeholder image

science

SPECTRA uses gene networks to predict CRISPR cell responses

A bioRxiv preprint introduces SPECTRA, a graph-based model that predicts gene-expression responses to CRISPR perturbations by propagating signals through gene regulatory networks. The authors report improved recovery of sparse perturbation-related changes in a large-scale single-cell CRISPRi benchmark.

Khabre branded placeholder image

science

Preprint Finds Many Single-Cell Studies Miss Small Gene Effects

A bioRxiv preprint using data from 1,494 donors finds that many single-cell gene-expression studies may lack sufficient statistical power to detect small effects. Cell counts, gene-expression levels and sequencing depth strongly influenced which findings were detected and reproduced.

Khabre branded placeholder image

science

Randomly split single-cell data can inflate machine-learning scores

A bioRxiv preprint finds that randomly dividing single-cell data can leak information between training and test sets when related cells share labels. The authors propose eakcheck, a tool that estimates this leakage before a predictive model is trained.

Khabre branded placeholder image

science

LucaCell uses mRNA sequences to model single cells across species

A bioRxiv preprint introduces LucaCell, a foundation model that represents genes through mRNA sequence embeddings instead of fixed gene identifiers. The authors report applications spanning cross-species cell annotation, microbial analysis, chromatin accessibility and influenza infection states.