Titlebook: Artificial Intelligence Methods and Tools for Systems Biology; Werner Dubitzky,Francisco Azuaje Book 2004 Springer Science+Business Media

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知識(shí)

QSAR Modeling of Mutagenicity on Non-Congeneric Sets of Organic Compounds,ods from artificial intelligence, quantum mechanics, statistical methods by analyzing relationships between the mutagenic activity of compounds and their structure. The overview is given on the use of artificial intelligence methods for the estimation of mutagenicity. The focus is on ., the selectio

progestin

Characterizing Gene Expression Time Series using a Hidden Markov Model,terizing the developmental processes within the cell. By explicitly modelling the time dependent aspects of these data using a novel form of the HMM, each stage of cell development can be depicted. In this model, the hitherto unknown development process that manifests itself as changes in gene expre

OGLE

Orgasm

A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data,es, they also present significant challenges for analysis, classification and interpretation. These challenges include sample sparsity, high-dimensional feature spaces, and noise/artifact signatures. Since a dataindependent ‘universal’ classifier does not exist, a classification strategy is needed,

隼鷹

Cooperative Metaheuristics for Exploring Proteomic Data,pproximated solutions in a reasonable time. Cooperative metaheuristics are a sub-set of metaheuristics, which implies a parallel exploration of the search space by several entities with information exchange between them. Several improvements in the field of metaheuristics are given. A hierarchical a

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vasculitis

成績(jī)上升

Terminal