Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Erika Bongen"'
Autor:
Francesco Vallania, Andrew Tam, Shane Lofgren, Steven Schaffert, Tej D. Azad, Erika Bongen, Winston Haynes, Meia Alsup, Michael Alonso, Mark Davis, Edgar Engleman, Purvesh Khatri
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
Cell type deconvolution from bulk expression data rely on a reference expression matrix. Here, the authors introduce a basis matrix built using data from both healthy and diseased samples profiled on 42 platforms, reducing biases introduced by single
Externí odkaz:
https://doaj.org/article/6f12c79a854b4734a673942857dc8a8a
Publikováno v:
Genome Medicine, Vol 10, Iss 1, Pp 1-12 (2018)
Abstract Background Influenza infects tens of millions of people every year in the USA. Other than notable risk groups, such as children and the elderly, it is difficult to predict what subpopulations are at higher risk of infection. Viral challenge
Externí odkaz:
https://doaj.org/article/792b91cb36e04b1eac9bb8c5302274ac
Autor:
Erika Bongen, Haley Lucian, Avani Khatri, Gabriela K. Fragiadakis, Zachary B. Bjornson, Garry P. Nolan, Paul J. Utz, Purvesh Khatri
Publikováno v:
Cell Reports, Vol 29, Iss 7, Pp 1961-1973.e4 (2019)
Summary: Sex differences in autoimmunity and infection suggest that a better understanding of molecular sex differences will improve the diagnosis and treatment of immune-related disease. We identified 144 differentially expressed genes, referred to
Externí odkaz:
https://doaj.org/article/b7b7a181600547bfaedd4ede5623851c
Autor:
Paul J. Utz, Garry P. Nolan, Gabriela K. Fragiadakis, Purvesh Khatri, Haley J. Lucian, Erika Bongen, Zachary B. Bjornson, Avani Khatri
Publikováno v:
Cell Reports, Vol 29, Iss 7, Pp 1961-1973.e4 (2019)
Cell Reports
Cell Reports
Summary Sex differences in autoimmunity and infection suggest that a better understanding of molecular sex differences will improve the diagnosis and treatment of immune-related disease. We identified 144 differentially expressed genes, referred to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea99cebff6b17871b31d2709088867ee
http://www.sciencedirect.com/science/article/pii/S2211124719313191
http://www.sciencedirect.com/science/article/pii/S2211124719313191
Publikováno v:
Computerized Medical Imaging and Graphics. 71:1-8
Computed tomography (CT)-based screening on lung cancer mortality is poised to make lung nodule management a growing public health problem. Biopsy and pathologic analysis of suspicious nodules is necessary to ensure accurate diagnosis and appropriate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a257219e9e6deaeadd3afcbc1c436e59
https://doi.org/10.1016/j.compmedimag.2018.10.006
https://doi.org/10.1016/j.compmedimag.2018.10.006
Autor:
Vivian K. Diep, Winston A. Haynes, Paul J. Utz, Rong Mao, Avani Khatri, Christopher R. Bolen, Gloria Yiu, Erika Bongen, Imelda Balboni, Purvesh Khatri, D. James Haddon
Publikováno v:
JCI Insight. 5
Systemic lupus erythematosus (SLE) is a complex autoimmune disease that follows an unpredictable disease course and affects multiple organs and tissues. We performed an integrated, multicohort analysis of 7,471 transcriptomic profiles from 40 indepen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c38238a8f9ebebecbc676a292f8fd2c0
https://doi.org/10.1172/jci.insight.122312
https://doi.org/10.1172/jci.insight.122312
Autor:
Meia Alsup, Purvesh Khatri, Mark M. Davis, Francesco Vallania, Edgar G. Engleman, Andrew Tam, Erika Bongen, Steven Schaffert, Winston A. Haynes, Tej D. Azad, Shane Lofgren, Michael N. Alonso
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
Nature Communications
Nature Communications
In silico quantification of cell proportions from mixed-cell transcriptomics data (deconvolution) requires a reference expression matrix, called basis matrix. We hypothesize that matrices created using only healthy samples from a single microarray pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ae166c327642bdc5640ffaaf3b3af23
https://doaj.org/article/6f12c79a854b4734a673942857dc8a8a
https://doaj.org/article/6f12c79a854b4734a673942857dc8a8a
Autor:
Paul J. Utz, Erika Bongen, Vivian K. Diep, D. James Haddon, Rong Mao, Avani Khatri, Imelda Balboni, Gloria Yiu, Winston A. Haynes, Christopher R. Bolen, Purvesh Khatri
Systemic lupus erythematosus (SLE) is a complex autoimmune disease that follows an unpredictable disease course and affects multiple organs and tissues. We performed an integrated, multi-cohort analysis of 7,471 transcriptomic profiles from 40 indepe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f32d3ae81ac5b2776633532420623070
Autor:
Timothy E. Sweeney, Helen M. McGuire, Erika Bongen, Marta Andres-Terre, Purvesh Khatri, Cristina M. Tato, Yannick Pouliot
Publikováno v:
Immunity
SummaryRespiratory viral infections are a significant burden to healthcare worldwide. Many whole genome expression profiles have identified different respiratory viral infection signatures, but these have not translated to clinical practice. Here, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace8346d481c430db5f9b7db955541d8
https://doi.org/10.1016/j.immuni.2015.11.003
https://doi.org/10.1016/j.immuni.2015.11.003
Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationships
Autor:
Gregory L. Gaskin, Timothy E. Sweeney, Erika Bongen, Nigam H. Shah, Liu C, Francesco Vallania, Paul J. Utz, Shane Lofgren, Rohit Vashisht, Winston A. Haynes, Purvesh Khatri
Existing knowledge of human disease relationships is incomplete. To establish a comprehensive understanding of disease, we integrated transcriptome profiles of 41,000 human samples with clinical profiles of 2 million patients, across 89 diseases. Bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ab5496d6538be8df3c5c4b72274696
https://doi.org/10.1101/214833
https://doi.org/10.1101/214833