Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thomas Kjosmoen"'
Publikováno v:
The Journal of Physical Chemistry B. 115:6272-6278
Metabolic control analysis (MCA) and biochemical systems theory (BST) have become established methods when analyzing the behavior/kinetics of biochemical reaction systems. While the usage of MCA and BST involves the determination of sensitivities, e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15db69099d4948b29754a98713680e6d
https://doi.org/10.1021/jp200578e
https://doi.org/10.1021/jp200578e
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 734
Organisms have the ability to counteract environmental perturbations and keep certain components within a cell homeostatically regulated. Closely related to homeostasis is the behavior of perfect adaptation where an organism responds to a step-wise p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d7fc78433ae89434a0fc7f885f16b5ec
https://pubmed.ncbi.nlm.nih.gov/21468989
https://pubmed.ncbi.nlm.nih.gov/21468989
Publikováno v:
Methods in Molecular Biology ISBN: 9781617790850
Organisms have the ability to counteract environmental perturbations and keep certain components within a cell homeostatically regulated. Closely related to homeostasis is the behavior of perfect adaptation where an organism responds to a step-wise p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92d5e92bc883fbc3fba3b1502ca16e80
https://doi.org/10.1007/978-1-61779-086-7_8
https://doi.org/10.1007/978-1-61779-086-7_8
Publikováno v:
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783642025037
CIBB
CIBB
A system for utilizing an artificial neural network to predict splice sites in genes has been studied. The neural network uses a sliding window of nucleotides over a gene and predicts possible splice sites. Based on the neural network output, the exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00df719cdae3488be70aeae4fbfbc7fb
https://doi.org/10.1007/978-3-642-02504-4_9
https://doi.org/10.1007/978-3-642-02504-4_9