about
A comprehensive study on different modelling approaches to predict platelet deposition rates in a perfusion chamber.iMet: A Network-Based Computational Tool To Assist in the Annotation of Metabolites from Tandem Mass Spectra.Implementation of an algorithm based on the Runge-Kutta-Fehlberg technique and the potential energy as a reaction coordinate to locate intrinsic reaction paths.Finding reaction paths using the potential energy as reaction coordinate.CliqueMS: A computational tool for annotating in-source metabolite ions from LC-MS untargeted metabolomics data based on a coelution similarity networkA Bayesian machine scientist to aid in the solution of challenging scientific problems
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description
hulumtues
@sq
researcher
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wetenschapper
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հետազոտող
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name
Antoni Aguilar-Mogas
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Antoni Aguilar-Mogas
@en
Antoni Aguilar-Mogas
@es
Antoni Aguilar-Mogas
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Antoni Aguilar-Mogas
@sl
type
label
Antoni Aguilar-Mogas
@ast
Antoni Aguilar-Mogas
@en
Antoni Aguilar-Mogas
@es
Antoni Aguilar-Mogas
@nl
Antoni Aguilar-Mogas
@sl
prefLabel
Antoni Aguilar-Mogas
@ast
Antoni Aguilar-Mogas
@en
Antoni Aguilar-Mogas
@es
Antoni Aguilar-Mogas
@nl
Antoni Aguilar-Mogas
@sl
P108
P1053
K-9130-2014
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P21
P31
P3829
P496
0000-0002-5952-3629