Chapter: Learning Gene Networks with Bayesian Networks

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Home > Introduction to Computational Proteomics > Learning Gene Networks with Bayesian Networks

Introduction to Computational Proteomics |

Golan Yona

Routledge

Introduction to Computational Proteomics

Learning Gene Networks with Bayesian Networks

Chapter Info

Authors

Golan Yona

ARI Id

1665897192732_14077388

Access

Not Available Free

Pages

649-686

DOI

10.1201/9781420010770-15

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Chapters/Headings	Author(s)	Pages	Info
The Basics		1-2
What is Computational Proteomics?	Golan Yona	3-8
Basic Notions in Molecular Biology	Golan Yona	9-22
Sequence Comparison	Golan Yona	23-104
Multiple Sequence Alignment, Profiles and Partial Order Graphs	Golan Yona	105-154
Motif Discovery	Golan Yona	155-181
Markov Models of Protein Families	Golan Yona	183-234
Classifiers and Kernels	Golan Yona	235-290
Protein Structure Analysis	Golan Yona	291-344
Protein Domains	Golan Yona	345-394
Putting All the Pieces Together		395-396
Clustering and Classification	Golan Yona	397-458
Embedding Algorithms and Vectorial Representations	Golan Yona	459-504
Analysis of Gene Expression Data	Golan Yona	505-552
Protein-Protein Interactions	Golan Yona	553-614
Cellular Pathways	Golan Yona	615-647
Learning Gene Networks with Bayesian Networks	Golan Yona	649-686
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