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Erika Bongen

Showing results (1-10 of 7) with videos related to

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Genome Medicine|June 15, 2018
KLRD1-expressing natural killer cells predict influenza susceptibilityErika Bongen, Francesco Vallania, Paul J Utz, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 19, 2018
Machine learning to predict lung nodule biopsy method using CT image features: A pilot studyYohan Sumathipala, Majid Shafiq, Erika Bongen, et al.
Immunity|December 20, 2015
Integrated, Multi-cohort Analysis Identifies Conserved Transcriptional Signatures across Multiple Respiratory VirusesMarta Andres-Terre, Helen M McGuire, Yannick Pouliot, et al.
Cell Reports|November 14, 2019
Sex Differences in the Blood Transcriptome Identify Robust Changes in Immune Cell Proportions with Aging and Influenza InfectionErika Bongen, Haley Lucian, Avani Khatri, et al.
Nature Communications|November 11, 2018
Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biasesFrancesco Vallania, Andrew Tam, Shane Lofgren, et al.
JCI Insight|January 24, 2020
Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosusWinston A Haynes, D James Haddon, Vivian K Diep, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITYWinston A Haynes, Francesco Vallania, Charles Liu, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Genome Medicine|June 15, 2018
KLRD1-expressing natural killer cells predict influenza susceptibilityErika Bongen, Francesco Vallania, Paul J Utz, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 19, 2018
Machine learning to predict lung nodule biopsy method using CT image features: A pilot studyYohan Sumathipala, Majid Shafiq, Erika Bongen, et al.
Immunity|December 20, 2015
Integrated, Multi-cohort Analysis Identifies Conserved Transcriptional Signatures across Multiple Respiratory VirusesMarta Andres-Terre, Helen M McGuire, Yannick Pouliot, et al.
Cell Reports|November 14, 2019
Sex Differences in the Blood Transcriptome Identify Robust Changes in Immune Cell Proportions with Aging and Influenza InfectionErika Bongen, Haley Lucian, Avani Khatri, et al.
Nature Communications|November 11, 2018
Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biasesFrancesco Vallania, Andrew Tam, Shane Lofgren, et al.
JCI Insight|January 24, 2020
Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosusWinston A Haynes, D James Haddon, Vivian K Diep, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITYWinston A Haynes, Francesco Vallania, Charles Liu, et al.
Pageof 1