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Lazy learning for predictive toxicology based on a chemical ontology | 1 | |
QSAR modeling of mutagenicity on non-congeneric sets of organic compounds | 19 | |
Characterizing gene expression time series using a hidden Markov model | 37 | |
Analysis of large-scale mRNA expression data sets by genetic algorithms | 51 | |
A data-driven, flexible machine learning strategy for the classification of biomedical data | ||
Cooperative metaheuristics for exploring proteomic data | 87 | |
Integrating gene expression data, protein interaction data, and ontology-based literature searches | 107 | |
Ontologies in bioinformatics and systems biology | 129 | |
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Systems level modeling of gene regulatory networks | 175 | |
Computational neuroscience for cognitive brain functions | 197 |
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Add Artificial Intelligence Methods and Tools for Systems Biology, This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimensi, Artificial Intelligence Methods and Tools for Systems Biology to the inventory that you are selling on WonderClubX
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Add Artificial Intelligence Methods and Tools for Systems Biology, This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimensi, Artificial Intelligence Methods and Tools for Systems Biology to your collection on WonderClub |