Concepedia

Mixture Model Deconvolution

Mixture Model Deconvolution is a statistical framework within cell-type deconvolution that estimates the proportion of distinct cell types in a bulk tissue sample by modeling the observed gene expression profile as a weighted combination of cell-type-specific expression signatures derived from a probabilistic mixture model.

32

Publications

1.9K

Citations

143

Authors

75

Institutions

Publications per year

2017–2026

20

Parents

Publications

32

DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data

Ting Gong, Joseph D. Szustakowski · Bioinformatics · 2013 · 340 citations · Full text

, , +17

Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples

Ting Gong, Nicole Hartmann, Isaac S. Kohane et al. · PLoS ONE · 2011 · 159 citations · Full text

, , +17

Evaluating 130 microhaplotypes across a global set of 83 populations

Kenneth K. Kídd, William C. Speed, A.J. Pakstis et al. · Forensic Science International Genetics · 2017 · 156 citations · Full text

, , +14

Analysis of Forensic DNA Mixtures with Artefacts

R. G. Cowell, Therese Graversen, Steffen L. Lauritzen et al. · Journal of the Royal Statistical Society Series C (Applied Statistics) · 2014 · 138 citations

, , +16

DeMix: deconvolution for mixed cancer transcriptomes using raw measured data

Jaeil Ahn, Ying Yuan, Giovanni Parmigiani et al. · Bioinformatics · 2013 · 119 citations · Full text

, , +17

1–5 of 32

Authors

143

  1. KK
    Kenneth K. Kídd

    Yale University, United States

    3 publications · 277 citations

    3

    h-index

  2. HY
    Hoi Yan Chow

    Memorial Sloan Kettering Cancer Center, United States

    2 publications · 84 citations

    2

    h-index

  3. RL
    Robert Lagacé

    Thermo Fisher Scientific (United States), United States

    2 publications · 238 citations

    2

    h-index

  4. DS
    Donald S. Siegel

    Arizona State University, United States

    2 publications · 84 citations

    2

    h-index

  5. JM
    Julia Mortera

    Roma Tre University, Italy

    2 publications · 150 citations

    2

    h-index

1–5 of 143

Institutions

75

  1. Harvard University

    Cambridge, United States

    3 h-index

    9 publications

    759 citations

  2. Yale University

    New Haven, United States

    3 h-index

    8 publications

    940 citations

  3. Thermo Fisher Scientific (United States)

    Waltham, United States

    2 h-index

    7 publications

    796 citations

  4. The University of Texas MD Anderson Cancer Center

    Houston, United States

    2 h-index

    16 publications

    1.7K citations

  5. University of North Texas Health Science Center

    Fort Worth, United States

    2 h-index

    13 publications

    256 citations

  6. George Washington University

    Washington, United States

    2 h-index

    6 publications

    566 citations

  7. Office of Chief Medical Examiner

    New York, United States

    2 h-index

    10 publications

    422 citations

  8. Dana-Farber Cancer Institute

    Boston, United States

    2 h-index

    12 publications

    1.3K citations

1–8 of 75

Venues

  1. Forensic Science International Genetics

    FSI · 5 publications · 253 citations

    5

    h-index

  2. Genes

    3 publications · 60 citations

    3

    h-index

  3. Bioinformatics

    3 publications · 504 citations

    3

    h-index

  4. PLoS ONE

    2 publications · 200 citations

    2

    h-index

  5. Nature Communications

    2 publications · 107 citations

    2

    h-index

1–5