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BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
CIKM
2008
Springer
13 years 9 months ago
A system for finding biological entities that satisfy certain conditions from texts
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
Wei Zhou, Clement T. Yu, Weiyi Meng
CSB
2005
IEEE
130views Bioinformatics» more  CSB 2005»
14 years 1 months ago
iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems
The genome projects have provided comprehensive information about the basic building blocks of life. The next challenge is to understand how biological functions emerge from compl...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
BMCBI
2006
94views more  BMCBI 2006»
13 years 7 months ago
Fly-DPI: database of protein interactomes for D. melanogaster in the approach of systems biology
Background: Proteins control and mediate many biological activities of cells by interacting with other protein partners. This work presents a statistical model to predict protein ...
Chung-Yen Lin, Shu-Hwa Chen, Chi-Shiang Cho, Chia-...
IWANN
2005
Springer
14 years 29 days ago
Modeling Neural Processes in Lindenmayer Systems
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Carlos Martín-Vide, Tseren-Onolt Ishdorj