Lanxiang Li

The paper benchmarks 13 models for predicting single-cell perturbation responses across 25 datasets, finding performance varies with perturbation effect size and evaluation metric.

Garfield integrates single-cell and spatial multi-omics data into a shared space, outperforming existing methods in identifying spatial niches and revealing immune microenvironment heterogeneity.

This study compares six sequencing-based spatial transcriptomic methods using reference tissues, highlighting molecular diffusion as a key variable affecting resolution and identifying unique attributes of spatial transcriptomic data.

The paper identifies SARS-CoV-2 mutation hotspots linked to severe clinical outcomes using genomic and RNA-seq data from 209,551 sequences and 321 samples.

This study shows that the estrus-cycle modulates cortical inhibition in female rats by altering fast-spiking interneuron activity via estrogen receptor β.