Concepedia

Outlier Cell Detection

Outlier Cell Detection is a computational method in single-cell quality control that identifies individual cells exhibiting aberrant gene expression patterns or technical artifacts distinct from the majority of cells within a single-cell RNA sequencing dataset.

26

Publications

3.3K

Citations

116

Authors

67

Institutions

Publications per year

2017–2026

11

Parents

Publications

26

Differential abundance testing on single-cell data using k-nearest neighbor graphs

Emma Dann, Neil C. Henderson, Sarah A. Teichmann et al. · Nature Biotechnology · 2021 · 928 citations · Full text

, , +16

Classification of low quality cells from single-cell RNA-seq data

Tomislav Ilicic, Jong Kim, Aleksandra A. Kolodziejczyk et al. · Genome biology · 2016 · 797 citations · Full text

, , +17

flowAI: automatic and interactive anomaly discerning tools for flow cytometry data

Gianni Monaco, Hao Chen, Michael Poidinger et al. · Bioinformatics · 2016 · 282 citations

, , +12

A Highly Sensitive and Robust Method for Genome-wide 5hmC Profiling of Rare Cell Populations

Dali Han, Xingyu Lu, Alan H. Shih et al. · Molecular Cell · 2016 · 178 citations · Full text

, , +14

Efficient and robust cell detection: A structured regression approach

Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi et al. · Medical Image Analysis · 2017 · 154 citations

, , +8

1–5 of 26

Authors

116

  1. RS
    Ron S. Kenett

    University of Turin, Italy

    2 publications · 114 citations

    2

    h-index

  2. JC
    John C. Marioni

    European Bioinformatics Institute, United Kingdom

    2 publications · 1.7K citations

    2

    h-index

  3. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    2 publications · 1.7K citations

    2

    h-index

  4. JS
    Jeffrey S. Simonoff

    New York University, United States

    2 publications · 61 citations

    2

    h-index

  5. CF
    Camil Fuchs

    Tel Aviv University, Israel

    2 publications · 114 citations

    2

    h-index

1–5 of 116

Institutions

67

  1. University of Cambridge

    Cambridge, United Kingdom

    3 h-index

    5 publications

    3.4K citations

  2. European Bioinformatics Institute

    Cambridge, United Kingdom

    3 h-index

    12 publications

    7.6K citations

  3. Wellcome Sanger Institute

    Cambridge, United Kingdom

    3 h-index

    9 publications

    6.1K citations

  4. University of Wisconsin–Madison

    Madison, United States

    2 h-index

    2 publications

    114 citations

  5. Cancer Research UK

    London, United Kingdom

    2 h-index

    3 publications

    2.7K citations

  6. New York University

    New York, United States

    2 h-index

    2 publications

    61 citations

  7. University of British Columbia

    Vancouver, Canada

    2 h-index

    3 publications

    124 citations

  8. University of Chicago

    Chicago, United States

    2 h-index

    7 publications

    1.1K citations

1–8 of 67

Venues

  1. Technometrics

    4 publications · 160 citations

    4

    h-index

  2. Bioinformatics

    2 publications · 398 citations

    2

    h-index

  3. 2

    h-index

  4. Genome biology

    2 publications · 917 citations

    2

    h-index

  5. SIAM Journal on Scientific Computing

    1 publications · 29 citations

    1

    h-index

1–5