Data Mining for Systems Biology: Methods and Protocols

Author:   Hiroshi Mamitsuka
Publisher:   Humana Press Inc.
Edition:   Softcover reprint of the original 2nd ed. 2018
Volume:   1807
ISBN:  

9781493993260


Pages:   243
Publication Date:   10 December 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $343.17 Quantity:  
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Data Mining for Systems Biology: Methods and Protocols


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Author:   Hiroshi Mamitsuka
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   Softcover reprint of the original 2nd ed. 2018
Volume:   1807
Weight:   0.493kg
ISBN:  

9781493993260


ISBN 10:   1493993267
Pages:   243
Publication Date:   10 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Identifying Bacterial Strains from Sequencing Data.- MetaVW: Large-Scale Machine Learning for Metagenomics Sequence Classification.- Online Interactive Microbial Classification and Geospatial Distributional Analysis Using BioAtlas.- Generative Models for Quantification of DNA Modifications.- DiMmer: Discovery of Differentially Methylated Regions in Epigenome-Wide Association Study (EWAS) Data.- Implementing a Transcription Factor Interaction Prediction System Using the GenoMetric Query Language.- Multiple Testing Tool to Detect Combinatorial Effects in Biology.- SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining.- Computing and Visualizing Gene Function Similarity and Coherence with NaviGO.- Analyzing Glycan Binding Profiles Using Weighted Multiple Alignment of Trees.- Analysis of Fluxomic Experiments with Principal Metabolic Flux Mode Analysis.- Analyzing Tandem Mass Spectra Using the DRIP Toolkit: Training, Searching, and Post-Processing.- Sparse Modeling to Analyze Drug-Target Interaction Networks.- DrugE-Rank: Predicting Drug-Target Interactions by Learning to Rank.- MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH Indexing.- Disease Gene Classification with Metagraph Representations.- Inferring Antimicrobial Resistance from Pathogen Genomes in KEGG.

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