Christophe Bécavin

scMusketeers improves cell type annotation and reduces batch effects in single-cell data using a modular autoencoder with focal loss and adversarial domain adaptation.

The paper constructs a single-cell atlas of the human healthy airways using RNA sequencing data from 77,969 cells across 35 locations, revealing cell-type-specific gene expression patterns and cellular heterogeneity.

Across 1,176,683 airway and lung cells from 22 datasets, ACE2 rises with age, in males and in smokers' multiciliated cells, and is lowest in young children.

The paper investigates how gut microbiota influences m6A RNA modifications in different host tissues, finding significant effects in the cecum and liver, with Akkermansia muciniphila showing specific impacts.

The paper identifies sequence determinants of CRISPR-Cas9 efficiency in E. coli through a genome-wide screen and develops a sequence-based model to predict cleavage efficiency.