Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shantan R. Marepally"'
Autor:
Shantan R. Marepally, Liangjiang Wang, Ruth Welti, Gerald H. Lushington, Prashanth Pallakollu, Zhenguo Zhou, Mahesh Visvanathan, Daya Sagar Nune, Mary R. Roth, Gail Ragan
Publikováno v:
Lipids. 46:879-884
LipidomeDB Data Calculation Environment (DCE) is a web application to quantify complex lipids by processing data acquired after direct infusion of a lipid-containing biological extract, to which a cocktail of internal standards has been added, into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea249517dc53c55b70c7b25231916d6b
https://doi.org/10.1007/s11745-011-3575-8
https://doi.org/10.1007/s11745-011-3575-8
Autor:
Mary R. Roth, Ruth Welti, Zhenguo Zhou, Gerald H. Lushington, Shantan R. Marepally, Hieu Sy Vu, Sunitha Shiva, Mahesh Visvanathan, Daya Sagar Nune
Publikováno v:
Methods in Molecular Biology ISBN: 9781627034005
Plant phospholipids and glycolipids can be analyzed by direct infusion electrospray ionization triple-quadrupole mass spectrometry. A biological extract is introduced in solvent by continuous infusion into the mass spectrometer's electrospray ionizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92753cc396a8491865b1893fd1994278
https://doi.org/10.1007/978-1-62703-401-2_9
https://doi.org/10.1007/978-1-62703-401-2_9
Publikováno v:
HIS
We explore an extension of rough set theory based on probability theory. Lower and upper approximations, the basic ideas of rough set theory, are generalized by adding two parameters, denoted by alpha and beta. In our experiments, for different pairs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::007be5a4bc4f0b0638335d60d790756b
https://doi.org/10.1109/his.2010.5601064
https://doi.org/10.1109/his.2010.5601064
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783642132070
ICAISC (1)
ICAISC (1)
This paper presents results of experiments on data sets that were subjected to increasing incompleteness by random replacement of attribute values by symbols of missing attribute values. During these experiments the total error rate and error rates f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a203bd1fc55ff96248c90c8b0063ae5
https://doi.org/10.1007/978-3-642-13208-7_45
https://doi.org/10.1007/978-3-642-13208-7_45
Publikováno v:
Rough Sets and Current Trends in Computing ISBN: 9783642135286
RSCTC
Rough Sets and Intelligent Systems-Professor Zdzisław Pawlak in Memoriam ISBN: 9783642303432
RSCTC
Rough Sets and Intelligent Systems-Professor Zdzisław Pawlak in Memoriam ISBN: 9783642303432
In this paper we present results of an experimental comparison (in terms of an error rate) of rule sets induced by the LERS data mining system with rule sets induced using the probabilistic rough classification (PRC). As follows from our experiments,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d6848380d9d5120e612a0f3aa343c3
https://doi.org/10.1007/978-3-642-13529-3_63
https://doi.org/10.1007/978-3-642-13529-3_63