A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Overview of attention for article published in Genome Biology (Online Edition), January 2020

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So far, Altmetric has seen 204 tweets from 174 users, with an upper bound of 350,168 followers.

Software： batch-effect correction: A benchmark of batch-effect correction methods for single-cell RNA sequencing data https://t.co/LC9PW56nP8

@daweonline @Pietro_Delfino What is your experience with Harmony? It's the top recommendation acc. to this benchmark https://t.co/R5vUNDAIda

RT @LGMartelotto: Each batch-effect removal method has its advantages and limitations. LIGER, Harmony, and Seurat 3 to be the top batch mix…

RT @chenjinmiao: A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text https://t.…

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