Computer ScienceBiologyMedicine

Shuang Li, Malte D. Luecken, J. Marioni, Sarah A. Teichmann, Peng He

2026.2.1Nature Computational Science

DOI: 10.1038/s43588-025-00943-1

tlooto Summary

It is envisioned that future frameworks will learn interpretable gene and cell representations and achieve informed modeling of technical and biological variation and achieve informed modeling of technical and biological variation.

Abstract

Abstract is not available.

Citation format

LI, Shuang, et al. Toward informed batch correction for single-cell transcriptome integration. Nature Computational Science, 2026, 6(2): 123–133.