Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kanchana Padmanabhan"'
Autor:
Kanchana Padmanabhan, Katie Shpanskaya, Gonzalo Bello, P. Murali Doraiswamy, Nagiza F. Samatova
Publikováno v:
Frontiers in Aging Neuroscience, Vol 9 (2017)
Externí odkaz:
https://doaj.org/article/09b979e480a143c7b2f2adabc08fad2b
Publikováno v:
PLoS ONE, Vol 7, Iss 4, p e33744 (2012)
In biological networks of molecular interactions in a cell, network motifs that are biologically relevant are also functionally coherent, or form functional modules. These functionally coherent modules combine in a hierarchical manner into larger, le
Externí odkaz:
https://doaj.org/article/42880e5982fb4999aea5d0246f9d2cb6
Autor:
Matthew C Schmidt, Andrea M Rocha, Kanchana Padmanabhan, Yekaterina Shpanskaya, Jill Banfield, Kathleen Scott, James R Mihelcic, Nagiza F Samatova
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 5, p e1002490 (2012)
Understanding of genotype-phenotype associations is important not only for furthering our knowledge on internal cellular processes, but also essential for providing the foundation necessary for genetic engineering of microorganisms for industrial use
Externí odkaz:
https://doaj.org/article/c74b6094af2146be8ac1c4100b299b7e
Publikováno v:
Proceedings of the Canadian Conference on Artificial Intelligence.
Retailers rely heavily on product matching to better serve their customers, and to improve their modelling and forecasting. Product matching refers to the process of identifying similar or identical products across different data sources. This is a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad6e4f4acefcd371390748e8a6e5434d
https://doi.org/10.21428/594757db.08c5079e
https://doi.org/10.21428/594757db.08c5079e
Publikováno v:
IJCAI
Knowledge graph embeddings are instrumental for representing and learning from multi-relational data, with recent embedding models showing high effectiveness for inferring new facts from existing databases. However, such precisely structured data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f5c2b85d3ad0bc9ca4b5929d5d1dc33
https://doi.org/10.24963/ijcai.2019/725
https://doi.org/10.24963/ijcai.2019/725
Autor:
Isaac K. Tetteh, Kanchana Padmanabhan, Nagiza F. Samatova, Saurabh V. Pendse, J. Yu, Fred Semazzi, S. Srinivas, Doel L. Gonzalez, Michael P. Angus, Gonzalo A. Bello, Vipin Kumar
Publikováno v:
Nonlinear Processes in Geophysics, Vol 22, Iss 1, Pp 33-46 (2015)
Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall~variability. Although connections betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d6dacd99915519d9231785d80e0395b
https://www.nonlin-processes-geophys.net/22/33/2015/
https://www.nonlin-processes-geophys.net/22/33/2015/
Autor:
Priyanka Tiwari Dikshit, Kelly N.H. Nudelman, Jeffrey R. Petrella, Gonzalo A. Bello, Pallavi S. Yerramsetty, Nagiza F. Samatova, Steve Harenberg, Andrew J. Saykin, Alzheimer’s Disease Neuroimaging Initiative, P. Murali Doraiswamy, Katie Shpanskaya, Rudolph E. Tanzi, Kanchana Padmanabhan, Dongwha Sohn
Publikováno v:
Processes, Vol 5, Iss 3, p 47 (2017)
Processes; Volume 5; Issue 3; Pages: 47
Processes; Volume 5; Issue 3; Pages: 47
Alzheimer’s disease (AD) is a major public health threat; however, despite decades of research, the disease mechanisms are not completely understood, and there is a significant dearth of predictive biomarkers. The availability of systems biology ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38620a0e873d9d5339eda4fdc5443e23
https://www.mdpi.com/2227-9717/5/3/47
https://www.mdpi.com/2227-9717/5/3/47
Autor:
Ramona G. Seay, Kanchana Padmanabhan, Gonzalo A. Bello, L. Gjeltema, Jitendra K. Harlalka, Nagiza F. Samatova, Stephen Ranshous, Steve Harenberg
Publikováno v:
WIREs Computational Statistics. 6:426-439
Community detection is a common problem in graph data analytics that consists of finding groups of densely connected nodes with few connections to nodes outside of the group. In particular, identifying communities in large-scale networks is an import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58cb47c589126c994bf459393e0fe311
https://doi.org/10.1002/wics.1319
https://doi.org/10.1002/wics.1319
Autor:
Gang Fang, Kanchana Padmanabhan, Nagiza F. Samatova, Jeffrey R. Petrella, Kelvin O. Lim, Vipin Kumar, Michael Steinbach, Angus W. MacDonald, P. Murali Doraiswamy, Gowtham Atluri
Publikováno v:
NeuroImage : Clinical
Neuropsychiatric disorders such as schizophrenia, bipolar disorder and Alzheimer's disease are major public health problems. However, despite decades of research, we currently have no validated prognostic or diagnostic tests that can be applied at an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ae1c6a436af8354f6de66539955429
https://doi.org/10.1016/j.nicl.2013.07.004
https://doi.org/10.1016/j.nicl.2013.07.004
Publikováno v:
ICDM Workshops
Social networks are now a primary source for news and opinions on topics ranging from sports to politics. Analyzing opinions with an associated sentiment is crucial to the success of any campaign (product, marketing, or political). However, there are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df483b6608b5451edf8db0773167464b
https://doi.org/10.1109/icdmw.2016.0139
https://doi.org/10.1109/icdmw.2016.0139