Concepedia

Cell-type-aware Batch Correction

Cell-Type-Aware Batch Correction is a computational method for integrating single-cell omics data across batches that explicitly incorporates cell type heterogeneity as a biological prior to distinguish biological variation from technical artifacts during batch effect removal.

14

Publications

822

Citations

79

Authors

43

Institutions

Publications per year

2017–2026

13

Parents

Publications

14

BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis

Vipul Singhal, Nigel Chou, Joseph Lee et al. · Nature Genetics · 2024 · 224 citations · Full text

, , +16

BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes

Tongxin Wang, Travis S. Johnson, Wei Shao et al. · Genome biology · 2019 · 150 citations · Full text

, , +16

Semi-supervised integration of single-cell transcriptomics data

Massimo Andreatta, Léonard Hérault, Paul Gueguen et al. · Nature Communications · 2024 · 69 citations · Full text

, , +17

Evaluating batch correction methods for image-based cell profiling

John Arévalo, Ellen Su, Jessica Ewald et al. · Nature Communications · 2024 · 67 citations · Full text

, , +10

STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data

Massimo Andreatta, Santiago J. Carmona · Bioinformatics · 2020 · 64 citations · Full text

, , +17

1–5 of 14

Authors

79

  1. SS
    Shantanu Singh

    Broad Institute, United States

    2 publications · 90 citations

    2

    h-index

  2. JZ
    Jie Zhang

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 165 citations

    2

    h-index

  3. TS
    Travis S. Johnson

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 165 citations

    2

    h-index

  4. ZL
    Zixiao Lu

    Southern Medical University, China

    2 publications · 165 citations

    2

    h-index

  5. BR
    Bryan R. Helm

    North Dakota State University, United States

    2 publications · 165 citations

    2

    h-index

1–5 of 79

Institutions

43

  1. Indiana University School of Medicine

    Indianapolis, United States

    2 h-index

    10 publications

    825 citations

  2. University of Lausanne

    Lausanne, Switzerland

    2 h-index

    7 publications

    473 citations

  3. Genome Institute of Singapore

    Singapore, Singapore

    2 h-index

    9 publications

    1.4K citations

  4. Indiana University – Purdue University Indianapolis

    Indianapolis, United States

    2 h-index

    10 publications

    825 citations

  5. Regenstrief Institute

    Indianapolis, United States

    2 h-index

    2 publications

    165 citations

  6. Broad Institute

    Cambridge, United States

    2 h-index

    11 publications

    517 citations

  7. Ludwig Cancer Research

    Zurich, Switzerland

    2 h-index

    7 publications

    473 citations

  8. Southern Medical University

    Guangzhou, China

    2 h-index

    2 publications

    165 citations

1–8 of 43

Venues

  1. Bioinformatics

    4 publications · 105 citations

    4

    h-index

  2. Nature Communications

    3 publications · 167 citations

    3

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 38 citations

    2

    h-index

  4. Nature Genetics

    1 publications · 224 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 63 citations

    1

    h-index

1–5