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» Using a logical model to predict the growth of yeast
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BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
14 years 19 days ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
BMCBI
2004
185views more  BMCBI 2004»
13 years 6 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
JCB
2006
185views more  JCB 2006»
13 years 6 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
CSB
2004
IEEE
131views Bioinformatics» more  CSB 2004»
13 years 10 months ago
Improved Fourier Transform Method for Unsupervised Cell-Cycle Regulated Gene Prediction
Motivation: Cell-cycle regulated gene prediction using microarray time-course measurements of the mRNA expression levels of genes has been used by several researchers. The popular...
Karuturi R. Krishna Murthy, Liu Jian Hua
FSKD
2006
Springer
127views Fuzzy Logic» more  FSKD 2006»
13 years 10 months ago
On the Society of Genome: Social Affiliation Network Analysis of Microarray Data
Abstract. To investigate the structure of the genomic interaction network built from yeast gene-expression compendium dataset of hundreds of systematic perturbations, social affili...
Jung Hun Ohn, Jihoon Kim, Ju Han Kim