𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Feasible prediction in S-system models of genetic networks

✍ Scribed by Wei-Chang Yeh; Wen-Ben Lin; Tsung-Jung Hsieh; Sin-Long Liu


Book ID
108130505
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
534 KB
Volume
38
Category
Article
ISSN
0957-4174

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Feasibility of neural networks in modell
✍ A. P. Leros; A. A. Alexandridis; K. Dangakis; P. Kostarakis πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 349 KB πŸ‘ 2 views

A typical back-propagation neural network (BPN) model is developed for modelling radio propagation for field strength prediction based on data measurements of propagation loss (in decibels) with terrain information taken in an urban area (Athens region) in the 900 MHz band. The feasibility of the BP

Prediction of hourly actual evapotranspi
✍ Zohreh Izadifar; Amin Elshorbagy πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 472 KB

## Abstract The complexity of the evapotranspiration process and its variability in time and space have imposed some limitations on previously developed evapotranspiration models. In this study, two data‐driven models: genetic programming (GP) and artificial neural networks (ANNs), and statistical

Genetic markers applied in regression tr
✍ S. E. Hizer; T. M. Wright; D. K. Garcia πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 58 KB

## Summary Classification and regression tree (CART) modelling was used to determine infectious hypodermal and haematopoietic necrosis virus (IHHNV) resistance and susceptibility in __Penaeus stylirostris__. In a previous study, eight random amplified polymorphic DNA (RAPD) markers and viral load v

[Computational Biology] Modeling in Syst
✍ Koch, Ina; Reisig, Wolfgang; Schreiber, Falk πŸ“‚ Article πŸ“… 2011 πŸ› Springer London 🌐 English βš– 565 KB

The emerging, multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system, and computer modeling plays a vital role in the drive to understand the processes of life from an holistic viewpoint. Advancements in experimental tech