Tag: batch correction

A computational study combining RNA sequencing of blood samples with machine learning and rigorous batch correction has identified 18 candidate ...

Researchers have developed CytoVI, an open-source deep generative model that integrates, denoises and imputes antibody-based single-cell data from flow cytometry, ...

A new probabilistic deep learning model called ResolVI corrects misassigned RNA molecules and batch effects in spatial transcriptomics data, sharpening ...

Researchers have unveiled MStargetR, an open-source, containerised R workflow that unifies vendor file conversion, automated peak integration, auditable review, and ...

A new heterogeneous graph transformer called scFormer connects cells through their most specific genes rather than their most similar neighbors, ...