ScINSIGHT for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data

    October 2021 in “ bioRxiv (Cold Spring Harbor Laboratory) ”
    Kun Qian, Shiwei Fu, Hongwei Li, Wei Vivian Li

    Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.

    Studysummary This study introduces scINSIGHT, a method to analyze single-cell RNA sequencing data that outperforms existing techniques in identifying gene expression patterns across different biological conditions.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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    Research cited in this study 2

    1. ScMC Learns Biological Variation Through the Alignment of Multiple Single-Cell Genomics Datasets Genome biology · 2021
    2. Hedgehog Stimulates Hair Follicle Neogenesis by Creating Inductive Dermis During Murine Skin Wound Healing Nature Communications · 2018

    Related research 2

    1. ScINSIGHT for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data Genome biology · 2022
    2. ScINSIGHT for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data bioRxiv (Cold Spring Harbor Laboratory) · 2021