Concepedia

Cell-type-specific Expression Estimation

Cell-Type-Specific Expression Estimation is a computational method that infers the expression levels of genes within individual cell types from bulk tissue transcriptomic data by deconvolving the aggregate signal using reference profiles or statistical modeling.

115

Publications

39.3K

Citations

993

Authors

328

Institutions

Publications per year

2017–2026

63

Parents

Publications

115

Robust enumeration of cell subsets from tissue expression profiles

Aaron M. Newman, Chih Long Liu, Michael R. Green et al. · Nature Methods · 2015 · 14.1K citations · Full text

, , +16

Inferring tumour purity and stromal and immune cell admixture from expression data

Kosuke Yoshihara, Maria Shahmoradgoli, Emmanuel Martínez et al. · Nature Communications · 2013 · 10.7K citations · Full text

, , +17

Determining cell type abundance and expression from bulk tissues with digital cytometry

Aaron M. Newman, Chloé B. Steen, Chih Long Liu et al. · Nature Biotechnology · 2019 · 4.9K citations

, , +16

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

Julien Racle, Kaat de Jonge, Petra Baumgaertner et al. · eLife · 2017 · 1.4K citations · Full text

, , +17

Cell type–specific genetic regulation of gene expression across human tissues

Sarah Kim-Hellmuth, François Aguet, Meritxell Oliva et al. · Science · 2020 · 592 citations · Full text

, , +14

1–5 of 115

Authors

993

  1. AM
    Aaron M. Newman

    Stanford University, United States

    3 publications · 19.2K citations

    3

    h-index

  2. SH
    Sampsa Hautaniemi

    University of Helsinki, Finland

    3 publications · 105 citations

    3

    h-index

  3. MD
    Maximilian Diehn

    Stanford University, United States

    3 publications · 19.2K citations

    3

    h-index

  4. JW
    Jiebiao Wang

    University of Pittsburgh, United States

    3 publications · 184 citations

    3

    h-index

  5. AA
    Ash A. Alizadeh

    Stanford University, United States

    3 publications · 19.2K citations

    3

    h-index

1–5 of 993

Institutions

328

  1. Stanford University

    Stanford, United States

    7 h-index

    45 publications

    186.3K citations

  2. Harvard University

    Cambridge, United States

    6 h-index

    26 publications

    4.7K citations

  3. University of Pittsburgh

    Pittsburgh, United States

    6 h-index

    19 publications

    950 citations

  4. The University of Texas MD Anderson Cancer Center

    Houston, United States

    6 h-index

    50 publications

    99.9K citations

  5. Howard Hughes Medical Institute

    Chevy Chase, United States

    5 h-index

    5 publications

    474 citations

  6. Dana-Farber Cancer Institute

    Boston, United States

    4 h-index

    11 publications

    1.1K citations

  7. University of Washington

    Seattle, United States

    4 h-index

    10 publications

    2K citations

  8. Johns Hopkins University

    Baltimore, United States

    4 h-index

    22 publications

    1.9K citations

1–8 of 328

Venues

  1. Bioinformatics

    14 publications · 881 citations

    14

    h-index

  2. Nature Communications

    7 publications · 11.2K citations

    7

    h-index

  3. BMC Bioinformatics

    7 publications · 485 citations

    7

    h-index

  4. BMC Genomics

    5 publications · 532 citations

    5

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 175 citations

    5

    h-index

1–5