Sequential forward-inverse design for genetic network modeling / Cenny Taslim, Theodore T. Allen, Mario Lauria, Shih-Hsien Tseng
Cenny Taslim;
Theodore T. Allen; Mario Lauria; Shih-Hsien Tseng
(Taylor and Francis, 2017)
|
ABSTRAK This paper proposes methods for forward and inverse system modeling using Bayesian and least squares regression. This methods are based on both space-filling design criteria for multiple response problems and linear optimality criteria focusing on D optimality. Modeling with and without the constant term is considered motivated by the case study application of genetic network modeling. We propose extended one-factor-at-a-time experimentation followed bye augmentation of next stage design which offers biologists simplicity. Result are illustrated both numerical examples, a test problem from the literature, and a case study motivated by an real world biological research related to genetic network modeling. |
No. Panggil : | 658 JIPE |
Entri utama-Nama orang : | |
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Subjek : | |
Penerbitan : | Oxon: Taylor and Francis, 2017 |
Sumber Pengatalogan : | LibUI eng rda |
ISSN : | 21681015 |
Majalah/Jurnal : | Journal of Industrial and Production Engineering |
Volume : | Vol. 34, No. 7, Oktober 2017: Hal. 520 - 528 |
Tipe Konten : | text |
Tipe Media : | unmediated |
Tipe Carrier : | volume |
Akses Elektronik : | |
Institusi Pemilik : | Universitas Indonesia |
Lokasi : | Perpustakaan UI, Lantai 4, R. Koleksi Jurnal |
No. Panggil | No. Barkod | Ketersediaan |
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658 JIPE | 03-18-376651584 | TERSEDIA |
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