Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Huda Nassar"'
Autor:
Lauren L. Drag, Michael Mlynash, Huda Nassar, Elizabeth Osborn, Da E. Kim, Martin S. Angst, Nima Aghaeepour, Marion Buckwalter, Maarten G. Lansberg
Publikováno v:
BMC Neurology, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background Stroke increases the risk of cognitive impairment even several years after the stroke event. The exact mechanisms of post-stroke cognitive decline are unclear, but the immunological response to stroke might play a role. The aims o
Externí odkaz:
https://doaj.org/article/cd57366ce21f475f8227c584ddf59fa3
Autor:
Natalie Stanley, Ina A. Stelzer, Amy S. Tsai, Ramin Fallahzadeh, Edward Ganio, Martin Becker, Thanaphong Phongpreecha, Huda Nassar, Sajjad Ghaemi, Ivana Maric, Anthony Culos, Alan L. Chang, Maria Xenochristou, Xiaoyuan Han, Camilo Espinosa, Kristen Rumer, Laura Peterson, Franck Verdonk, Dyani Gaudilliere, Eileen Tsai, Dorien Feyaerts, Jakob Einhaus, Kazuo Ando, Ronald J. Wong, Gerlinde Obermoser, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Single-cell technologies are increasingly prominent in clinical applications, but predictive modelling with such data in large cohorts has remained computationally challenging. We developed a new algorithm, ‘VoPo’, for predictive modelling and vi
Externí odkaz:
https://doaj.org/article/e63eb4be164c423694059f87cd18e59d
Autor:
Martin Becker, Huda Nassar, Camilo Espinosa, Ina A. Stelzer, Dorien Feyaerts, Eloise Berson, Neda H. Bidoki, Alan L. Chang, Geetha Saarunya, Anthony Culos, Davide De Francesco, Ramin Fallahzadeh, Qun Liu, Yeasul Kim, Ivana Marić, Samson J. Mataraso, Seyedeh Neelufar Payrovnaziri, Thanaphong Phongpreecha, Neal G. Ravindra, Natalie Stanley, Sayane Shome, Yuqi Tan, Melan Thuraiappah, Maria Xenochristou, Lei Xue, Gary Shaw, David Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
Publikováno v:
Nature Computational Science. 3:346-359
Advanced measurement and data storage technologies have enabled high-dimensional profiling of complex biological systems. For this, modern multiomics studies regularly produce datasets with hundreds of thousands of measurements per sample, enabling a
Autor:
Kristy A Zera, Neda Bidoki, Huda Nassar, Lauren Drag, Michael Mlynash, Elizabeth Osborn, Muhith Musabbir, Da Eun Kim, Maria Mendez, Maarten Lansberg, Nima Aghaeepour, Marion S Buckwalter
Publikováno v:
Alzheimer's & Dementia. 18
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-13
Autor:
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean, Huda Nassar, Christopher Rackauckas, Timothy E. Holy, Michael P. H. Stumpf
Publikováno v:
Nature Methods. 20:771-771
Publikováno v:
SIAM Journal on Scientific Computing. 43:S592-S611
Multiple network alignment is the problem of identifying similar and related regions in a given set of networks. While there are a large number of effective techniques for pairwise problems with tw...
Autor:
Ivana Marić, Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Gavin M. Traber, Mathew Ellenberger, Alan L. Chang, Ramin Fallahzadeh, Huda Nassar, Martin Becker, Maria Xenochristou, Camilo Espinosa, Davide De Francesco, Mohammad S. Ghaemi, Elizabeth K. Costello, Anthony Culos, Xuefeng B. Ling, Karl G. Sylvester, Gary L. Darmstadt, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin S. Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour
Publikováno v:
Patterns. 3:100655
Preeclampsia is a complex disease of pregnancy whose physiopathology remains unclear. We developed machine-learning models for early prediction of preeclampsia (first 16 weeks of pregnancy) and over gestation by analyzing six omics datasets from a lo
Autor:
Kristy A Zera, Neda H Bidoki, Huda Nassar, Lauren Drag, Michael Mlynash, elizabeth osborn, Muhith Musabbir, Da Eun Kim, Maria Mendez, Maarten G Lansberg, Nima Aghaeepour, Marion S Buckwalter
Publikováno v:
Stroke. 53
Introduction: Depression is common after stroke, and is a debilitating factor undermining recovery in approximately one third of stroke survivors. It is essential to understand the underlying mechanisms to develop better treatments. Such insight may
Autor:
Elizabeth Osborn, Martin S. Angst, Marion S. Buckwalter, Da E. Kim, Nima Aghaeepour, Huda Nassar, Maarten G Lansberg, Lauren L. Drag, Michael Mlynash
Publikováno v:
BMC Neurology, Vol 20, Iss 1, Pp 1-7 (2020)
BMC Neurology
BMC Neurology
Background Stroke increases the risk of cognitive impairment even several years after the stroke event. The exact mechanisms of post-stroke cognitive decline are unclear, but the immunological response to stroke might play a role. The aims of the Str