Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach
about
Learning stochastic process-based models of dynamical systems from knowledge and data.Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategyA parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology.Integrated Strategies to Gain a Systems-Level View of Dynamic Signaling Networks.An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection.
P2860
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Reverse engineering of logic-b ...... dynamic optimization approach
@ast
Reverse engineering of logic-b ...... dynamic optimization approach
@en
type
label
Reverse engineering of logic-b ...... dynamic optimization approach
@ast
Reverse engineering of logic-b ...... dynamic optimization approach
@en
prefLabel
Reverse engineering of logic-b ...... dynamic optimization approach
@ast
Reverse engineering of logic-b ...... dynamic optimization approach
@en
P2860
P50
P356
P1433
P1476
Reverse engineering of logic-b ...... dynamic optimization approach
@en
P2093
David Henriques
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV314
P407
P577
2015-05-21T00:00:00Z