Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ross Kleiman"'
Publikováno v:
Methods Mol Biol
Methods in Molecular Biology ISBN: 9781071623046
Methods in Molecular Biology ISBN: 9781071623046
Epidemiological studies identifying biological markers of disease state are valuable, but can be time-consuming, expensive, and require extensive intuition and expertise. Furthermore, not all hypothesized markers will be borne out in a study, suggest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::965f337e8cb15e283ec3c9cedfb89159
https://pubmed.ncbi.nlm.nih.gov/35713860
https://pubmed.ncbi.nlm.nih.gov/35713860
Autor:
Ross, Kleiman, Finn, Kuusisto, Ian, Ross, Peggy L, Peissig, Ron, Stewart, C David, Page, Jeremy, Weiss
Epidemiological studies identifying biological markers of disease state are valuable, but can be time-consuming, expensive, and require extensive intuition and expertise. Furthermore, not all hypothesized markers will be borne out in a study, suggest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::7256ca864f8bce5408b34b5b0337e929
https://europepmc.org/articles/PMC6568080/
https://europepmc.org/articles/PMC6568080/
Autor:
David C. Page, Ross Kleiman, Zhaobin Kuang, Nicholas Sean Escanilla, James D. Shull, Lisa Hellerstein
Publikováno v:
ICMLA
There is great interest in methods to improve human insight into trained non-linear models. Leading approaches include producing a ranking of the most relevant features, a non-trivial task for non-linear models. We show theoretically and empirically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5232e65a66875ab2ac3ed22a490153e
https://doi.org/10.1109/icmla.2018.00014
https://doi.org/10.1109/icmla.2018.00014
We study the problem of privacy-preserving machine learning (PPML) for ensemble methods, focusing our effort on random forests. In collaborative analysis, PPML attempts to solve the conflict between the need for data sharing and privacy. This is espe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::326b6e38eebbda06cd7a70d89bd26eca
http://arxiv.org/abs/1811.08695
http://arxiv.org/abs/1811.08695
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319624150
MLDM
MLDM
Machine learning as an advanced computational technology has been around for several years in discovering patterns from diverse biomedical data sources and providing excellent capabilities ranging from gene annotation to predictive phenotyping. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::139d6acb3ad6342abd161b90fb9a6a00
https://doi.org/10.1007/978-3-319-62416-7_15
https://doi.org/10.1007/978-3-319-62416-7_15
Autor:
Ning Hua, Tuan D. Pham, Anant Madabhushi, Jovanna Danagoulian, James A. Hamilton, Andrew J. Buckler, Alkystis Phinikaridou, Tao Wan, Ross Kleiman
Purpose: To develop a new spatio-temporal texture (SpTeT) based method for distinguishing vulnerable versus stable atherosclerotic plaques on DCE-MRI using a rabbit model of atherothrombosis. Methods: Aortic atherosclerosis was induced in 20 New Zeal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec405bc925a8fca1f3693f34022597c8
https://europepmc.org/articles/PMC3987744/
https://europepmc.org/articles/PMC3987744/
Autor:
Ross Kleiman, Sharan Parikh, Devendra Verma, Rene S. Schloss, Michelle L. Previtera, Noshir A. Langrana
Publikováno v:
ASME 2011 Summer Bioengineering Conference, Parts A and B.
Spinal cord injuries have spurred research interests in finding ways to repair or replace damaged neurons. We are looking to find novel ways to promote proliferation and differentiation of stem cells in order to replace damaged spinal cord neurons. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f7abef889a5171f6b9f14e83b4c172
https://doi.org/10.1115/sbc2011-53596
https://doi.org/10.1115/sbc2011-53596