Concepedia

Technical Noise Modeling

Technical Noise Modeling is a computational approach that characterizes and quantifies non-biological variability in single-cell data to distinguish it from biologically meaningful signals.

70

Publications

6.5K

Citations

250

Authors

133

Institutions

Publications per year

2017–2026

33

Parents

Publications

70

Accounting for technical noise in single-cell RNA-seq experiments

Philip Brennecke, Simon Anders, Jong Kim et al. · Nature Methods · 2013 · 1.1K citations · Full text

, , +14

From single-cell to cell-pool transcriptomes: Stochasticity in gene expression and RNA splicing

Georgi K. Marinov, Brian A. Williams, Ken McCue et al. · Genome Research · 2013 · 520 citations · Full text

, , +17

The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data

Lars Kasper, Steffen Bollmann, Andreea O. Diaconescu et al. · Journal of Neuroscience Methods · 2016 · 467 citations · Full text

, , +15

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

Catalina A. Vallejos, John C. Marioni, Sylvia Richardson · PLoS Computational Biology · 2015 · 352 citations · Full text

, , +16

M3Drop: dropout-based feature selection for scRNASeq

Tallulah Andrews, Martin Hemberg · Bioinformatics · 2018 · 340 citations · Full text

, , +14

1–5 of 70

Authors

250

  1. NR
    Nancy R. Zhang

    University of Pennsylvania, United States

    4 publications · 304 citations

    4

    h-index

  2. JC
    John C. Marioni

    European Bioinformatics Institute, United Kingdom

    3 publications · 1.7K citations

    3

    h-index

  3. ML
    Mingyao Li

    University of Pennsylvania, United States

    3 publications · 280 citations

    3

    h-index

  4. JW
    Jingshu Wang

    University of Pennsylvania, United States

    3 publications · 207 citations

    3

    h-index

  5. CF
    Christopher Ferrie

    University of Technology Sydney, Australia

    2 publications · 250 citations

    2

    h-index

1–5 of 250

Institutions

133

  1. University of Pennsylvania

    Philadelphia, United States

    5 h-index

    30 publications

    2.4K citations

  2. Wellcome Sanger Institute

    Cambridge, United Kingdom

    3 h-index

    7 publications

    3.7K citations

  3. European Bioinformatics Institute

    Cambridge, United Kingdom

    3 h-index

    12 publications

    7.6K citations

  4. University College London

    London, United Kingdom

    3 h-index

    5 publications

    1.5K citations

  5. Australian National University

    Canberra, Australia

    3 h-index

    9 publications

    192 citations

  6. California Institute of Technology

    Pasadena, United States

    3 h-index

    10 publications

    2.4K citations

  7. University of Cambridge

    Cambridge, United Kingdom

    3 h-index

    5 publications

    360 citations

  8. Harvard University

    Cambridge, United States

    3 h-index

    3 publications

    163 citations

1–8 of 133

Venues

  1. Physical Review A

    PRA · 7 publications · 349 citations

    7

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 355 citations

    7

    h-index

  3. Bioinformatics

    4 publications · 590 citations

    4

    h-index

  4. Nature Communications

    3 publications · 521 citations

    3

    h-index

  5. BMC Bioinformatics

    3 publications · 74 citations

    3

    h-index

1–5