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Greg Finak

Showing results (21-30 of 54) with videos related to

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Journal of Immunological Methods|March 19, 2013
Highly multiplexed quantitation of gene expression on single cellsMaria H Dominguez, Pratip K Chattopadhyay, Steven Ma, et al.
Breast Cancer Research : BCR|August 22, 2012
Gene-expression profiling of microdissected breast cancer microvasculature identifies distinct tumor vascular subtypesFrançois Pepin, Nicholas Bertos, Julie Laferrière, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|April 25, 2015
Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry dataLin Lin, Jacob Frelinger, Wenxin Jiang, et al.
Plos One|December 3, 2010
In silico ascription of gene expression differences to tumor and stromal cells in a model to study impact on breast cancer outcomeSimen Myhre, Hayat Mohammed, Trine Tramm, et al.
Breast Cancer Research : BCR|October 24, 2006
Gene expression signatures of morphologically normal breast tissue identify basal-like tumorsGreg Finak, Svetlana Sadekova, Francois Pepin, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|January 3, 2014
High-throughput flow cytometry data normalization for clinical trialsGreg Finak, Wenxin Jiang, Kevin Krouse, et al.
Plos Computational Biology|August 29, 2014
OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysisGreg Finak, Jacob Frelinger, Wenxin Jiang, et al.
Nature Medicine|April 29, 2008
Stromal gene expression predicts clinical outcome in breast cancerGreg Finak, Nicholas Bertos, Francois Pepin, et al.
JCI Insight|June 23, 2016
Distinct activation thresholds of human conventional and innate-like memory T cellsChloe K Slichter, Andrew McDavid, Hannah W Miller, et al.
Patterns (New York, N.Y.)|December 24, 2021
New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapyEvan Greene, Greg Finak, Leonard A D'Amico, et al.
Pageof 6

Showing results (21-30 of 54) with videos related to

Sort By:
Pageof 6
Journal of Immunological Methods|March 19, 2013
Highly multiplexed quantitation of gene expression on single cellsMaria H Dominguez, Pratip K Chattopadhyay, Steven Ma, et al.
Breast Cancer Research : BCR|August 22, 2012
Gene-expression profiling of microdissected breast cancer microvasculature identifies distinct tumor vascular subtypesFrançois Pepin, Nicholas Bertos, Julie Laferrière, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|April 25, 2015
Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry dataLin Lin, Jacob Frelinger, Wenxin Jiang, et al.
Plos One|December 3, 2010
In silico ascription of gene expression differences to tumor and stromal cells in a model to study impact on breast cancer outcomeSimen Myhre, Hayat Mohammed, Trine Tramm, et al.
Breast Cancer Research : BCR|October 24, 2006
Gene expression signatures of morphologically normal breast tissue identify basal-like tumorsGreg Finak, Svetlana Sadekova, Francois Pepin, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|January 3, 2014
High-throughput flow cytometry data normalization for clinical trialsGreg Finak, Wenxin Jiang, Kevin Krouse, et al.
Plos Computational Biology|August 29, 2014
OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysisGreg Finak, Jacob Frelinger, Wenxin Jiang, et al.
Nature Medicine|April 29, 2008
Stromal gene expression predicts clinical outcome in breast cancerGreg Finak, Nicholas Bertos, Francois Pepin, et al.
JCI Insight|June 23, 2016
Distinct activation thresholds of human conventional and innate-like memory T cellsChloe K Slichter, Andrew McDavid, Hannah W Miller, et al.
Patterns (New York, N.Y.)|December 24, 2021
New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapyEvan Greene, Greg Finak, Leonard A D'Amico, et al.
Pageof 6