Data Mining for Systems Biology : Methods and Protocols /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mamitsuka, Hiroshi. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Humana, 2018.
Edition:2nd ed. 2018.
Series:Methods in Molecular Biology, 1807
Subjects:
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.