Zobrazeno 1 - 10
of 491
pro vyhledávání: '"Byron A. Long"'
Autor:
Arun S Mahadevan, Byron L Long, Chenyue W Hu, David T Ryan, Nicolas E Grandel, George L Britton, Marisol Bustos, Maria A Gonzalez Porras, Katerina Stojkova, Andrew Ligeralde, Hyeonwi Son, John Shannonhouse, Jacob T Robinson, Aryeh Warmflash, Eric M Brey, Yu Shin Kim, Amina A Qutub
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1009846 (2022)
We introduce cytoNet, a cloud-based tool to characterize cell populations from microscopy images. cytoNet quantifies spatial topology and functional relationships in cell communities using principles of network science. Capturing multicellular dynami
Externí odkaz:
https://doaj.org/article/68be8c3e4b864f43830fbc95545cafd3
Autor:
Alanis Carmona, Anjelica L. Gonzalez, Ronald N. Cohen, Eric M. Brey, Amina A. Qutub, Byron L. Long, Amanda Pelowe, Marcella K. Vaicik, Anna Goddi, Katerina Stojkova, Maria A. Gonzalez Porras
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports
Obesity and the metabolic disease epidemic has led to an increase in morbidity and mortality. A rise in adipose thermogenic capacity via activation of brown or beige fat is a potential treatment for metabolic diseases. However, an understanding of ho
Autor:
David P Noren, Byron L Long, Raquel Norel, Kahn Rrhissorrakrai, Kenneth Hess, Chenyue Wendy Hu, Alex J Bisberg, Andre Schultz, Erik Engquist, Li Liu, Xihui Lin, Gregory M Chen, Honglei Xie, Geoffrey A M Hunter, Paul C Boutros, Oleg Stepanov, DREAM 9 AML-OPC Consortium, Thea Norman, Stephen H Friend, Gustavo Stolovitzky, Steven Kornblau, Amina A Qutub
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 6, p e1004890 (2016)
Acute Myeloid Leukemia (AML) is a fatal hematological cancer. The genetic abnormalities underlying AML are extremely heterogeneous among patients, making prognosis and treatment selection very difficult. While clinical proteomics data has the potenti
Externí odkaz:
https://doaj.org/article/8aecb598035949668236f531b48849c2
Autor:
Zacharie Maloney, Byron L. Long, Amina A. Qutub, Jennifer Brethen, Erin Pollet, Aishwarya Sathish
BACKGROUNDStay-at-home orders have proven a controversial, while effective, method of SARS-CoV-2 containment. However objective measures of how the pandemic and stay-at-home orders are affecting the daily health of uninfected individuals have been la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270e7f297b897bdf711d15c5ac4084de
https://doi.org/10.1101/2020.12.07.20245001
https://doi.org/10.1101/2020.12.07.20245001
Autor:
Byron L. Long, S.Y. Wong, Song Li, Amada M. Abrego, Jennifer Soto, Grandel Ne, K. Balotin, Tien T. Tang, Arun S. Mahadevan, H. Li, Amina A. Qutub
Publikováno v:
Journal of Neuroscience Methods. 283:62-71
Background Neurite outgrowth is a metric widely used to assess the success of in vitro neural stem cell differentiation or neuron reprogramming protocols and to evaluate high-content screening assays for neural regenerative drug discovery. However, n
Publikováno v:
Sleep. 43:A460-A461
Introduction Fitness-based wearables and other emerging sensor technologies have the potential to track sleep across large populations longitudinally in at-home environments. To understand how these devices can inform research studies, limitations of
Publikováno v:
Alzheimer's & Dementia. 15
Autor:
David T. Ryan, Andrew Ligeralde, Jacob T. Robinson, Arun S. Mahadevan, Chenyue Wendy Hu, George Britton, Aryeh Warmflash, Amina A. Qutub, Byron L. Long
Publikováno v:
SSRN Electronic Journal.
We introduce cytoNet, a method to characterize multicellular topology from microscopy images. Accessible through a web-based interface, cytoNet quantifies the spatial relationships in cell communities using principles of graph theory, and evaluates t
Autor:
David P. Noren, Yung Chang, Jieping Ye, Amina A. Qutub, Byron L. Long, Li Liu, Tao Yang, Steven M. Kornblau
Publikováno v:
Evolutionary Applications
Despite wide applications of high-throughput biotechnologies in cancer research, many biomarkers discovered by exploring large-scale omics data do not provide satisfactory performance when used to predict cancer treatment outcomes. This problem is pa
Publikováno v:
Sleep. 42:A131-A132