Matches in SemOpenAlex for { <https://semopenalex.org/work/W2169661278> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2169661278 abstract "In this work, the problem of metabolic flux estimation is formulated as a problem of parameter estimation from incomplete labelling data. The expectation/conditional maximisation (ECM) algorithm is used to determined a maximum-likelihood (ML) estimate because of its simplicity and stable convergence. We propose to simplify a nonlinear inverse problem, generally numerically solved by an iterative optimisation algorithm, to a linear regression problem which is arrived at from a linear-in-the-parameter formulation during a partial optimisation process of the ECM algorithm. Three linear least square algorithms, the ordinary least squares (LS), the total least squares (TLS) and the constrained least squares (CLS), have been tested to solve the linear regression in this step. Using simulations, resulting parameter estimates and errors in flux estimation are compared and evaluated. The performance of the algorithms are investigated under two scenarios; when the labelling data are corrupted by a wide range of noise and when the labelling data are incompletely observed. Results suggest that the estimates from the ECM algorithm using CLS produce results superior to other combinations and have potential to be refined to improve its performance in metabolic flux estimation" @default.
- W2169661278 created "2016-06-24" @default.
- W2169661278 creator A5025177312 @default.
- W2169661278 creator A5034885233 @default.
- W2169661278 creator A5058227072 @default.
- W2169661278 creator A5085942306 @default.
- W2169661278 date "2007-04-01" @default.
- W2169661278 modified "2023-10-11" @default.
- W2169661278 title "Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm" @default.
- W2169661278 cites W1574470162 @default.
- W2169661278 cites W1597497599 @default.
- W2169661278 cites W1967639437 @default.
- W2169661278 cites W1979335383 @default.
- W2169661278 cites W1989845358 @default.
- W2169661278 cites W1992170087 @default.
- W2169661278 cites W2010315317 @default.
- W2169661278 cites W2030255580 @default.
- W2169661278 cites W2030708049 @default.
- W2169661278 cites W2091963605 @default.
- W2169661278 cites W2096767559 @default.
- W2169661278 cites W2117853077 @default.
- W2169661278 cites W2126821981 @default.
- W2169661278 cites W2136811206 @default.
- W2169661278 cites W2138520475 @default.
- W2169661278 doi "https://doi.org/10.1109/cibcb.2007.4221251" @default.
- W2169661278 hasPublicationYear "2007" @default.
- W2169661278 type Work @default.
- W2169661278 sameAs 2169661278 @default.
- W2169661278 citedByCount "0" @default.
- W2169661278 crossrefType "proceedings-article" @default.
- W2169661278 hasAuthorship W2169661278A5025177312 @default.
- W2169661278 hasAuthorship W2169661278A5034885233 @default.
- W2169661278 hasAuthorship W2169661278A5058227072 @default.
- W2169661278 hasAuthorship W2169661278A5085942306 @default.
- W2169661278 hasConcept C105795698 @default.
- W2169661278 hasConcept C11413529 @default.
- W2169661278 hasConcept C126255220 @default.
- W2169661278 hasConcept C134306372 @default.
- W2169661278 hasConcept C135252773 @default.
- W2169661278 hasConcept C159694833 @default.
- W2169661278 hasConcept C159985019 @default.
- W2169661278 hasConcept C162324750 @default.
- W2169661278 hasConcept C167928553 @default.
- W2169661278 hasConcept C185429906 @default.
- W2169661278 hasConcept C192562407 @default.
- W2169661278 hasConcept C204323151 @default.
- W2169661278 hasConcept C2777303404 @default.
- W2169661278 hasConcept C33923547 @default.
- W2169661278 hasConcept C41008148 @default.
- W2169661278 hasConcept C45923927 @default.
- W2169661278 hasConcept C50522688 @default.
- W2169661278 hasConcept C9936470 @default.
- W2169661278 hasConcept C99656134 @default.
- W2169661278 hasConceptScore W2169661278C105795698 @default.
- W2169661278 hasConceptScore W2169661278C11413529 @default.
- W2169661278 hasConceptScore W2169661278C126255220 @default.
- W2169661278 hasConceptScore W2169661278C134306372 @default.
- W2169661278 hasConceptScore W2169661278C135252773 @default.
- W2169661278 hasConceptScore W2169661278C159694833 @default.
- W2169661278 hasConceptScore W2169661278C159985019 @default.
- W2169661278 hasConceptScore W2169661278C162324750 @default.
- W2169661278 hasConceptScore W2169661278C167928553 @default.
- W2169661278 hasConceptScore W2169661278C185429906 @default.
- W2169661278 hasConceptScore W2169661278C192562407 @default.
- W2169661278 hasConceptScore W2169661278C204323151 @default.
- W2169661278 hasConceptScore W2169661278C2777303404 @default.
- W2169661278 hasConceptScore W2169661278C33923547 @default.
- W2169661278 hasConceptScore W2169661278C41008148 @default.
- W2169661278 hasConceptScore W2169661278C45923927 @default.
- W2169661278 hasConceptScore W2169661278C50522688 @default.
- W2169661278 hasConceptScore W2169661278C9936470 @default.
- W2169661278 hasConceptScore W2169661278C99656134 @default.
- W2169661278 hasLocation W21696612781 @default.
- W2169661278 hasOpenAccess W2169661278 @default.
- W2169661278 hasPrimaryLocation W21696612781 @default.
- W2169661278 hasRelatedWork W1558955652 @default.
- W2169661278 hasRelatedWork W2044235108 @default.
- W2169661278 hasRelatedWork W2113401902 @default.
- W2169661278 hasRelatedWork W2169408982 @default.
- W2169661278 hasRelatedWork W2380355609 @default.
- W2169661278 hasRelatedWork W2388268395 @default.
- W2169661278 hasRelatedWork W2391323571 @default.
- W2169661278 hasRelatedWork W2899120552 @default.
- W2169661278 hasRelatedWork W4312475898 @default.
- W2169661278 hasRelatedWork W822214217 @default.
- W2169661278 isParatext "false" @default.
- W2169661278 isRetracted "false" @default.
- W2169661278 magId "2169661278" @default.
- W2169661278 workType "article" @default.