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The Resource Data mining for systems biology : methods and protocols, edited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa

Data mining for systems biology : methods and protocols, edited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa

Label
Data mining for systems biology : methods and protocols
Title
Data mining for systems biology
Title remainder
methods and protocols
Statement of responsibility
edited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa
Contributor
Subject
Language
eng
Summary
The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. Data Mining for Systems Biology: Methods and Protocols, surveys and demonstrates the science and technology of converting an unprecedented data deluge to new knowledge and biological insight. The volume is organized around two overlapping themes, network inference and functional inference. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols also seeks to aid researchers in the further development of databases, mining and visualization systems that are central to the paradigm altering discoveries being made with increasing frequency
Member of
Cataloging source
GW5XE
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Methods in molecular biology
Series volume
939
Data mining for systems biology : methods and protocols, edited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa
Label
Data mining for systems biology : methods and protocols, edited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa
Link
http://libproxy.rpi.edu/login?url=http://link.springer.com/10.1007/978-1-62703-107-3
Publication
Related Contributor
Related Location
Related Agents
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Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Supervised inference of gene regulatory networks from positive and unlabeled examples
  • Fantine Mordelet and Jean-Philippe Vert
  • Mining regulatory network connections by ranking transcription factor target genes using time series expression data
  • Antti Honkela, Magnus Rattray, and Neil D. Lawrence
  • Identifying pathways of coordinated gene expression
  • Timothy Hancock, Ichigaku Takigawa, and Hiroshi Mamitsuka
  • Mining frequent subtrees in glycan data using the rings glycan miner tool
  • Kiyoko Flora Aoki-Kinoshita
  • Chemogenomic approaches to infer drug-target interaction networks
  • Yoshihiro Yamanishi
  • Dense module enumeration in biological networks
  • Localization prediction and structure-based in silico analysis of bacterial proteins : with emphasis on outer membrane proteins
  • Kenichiro Imai [and others]
  • Analysis strategy of protein-protein interaction networks
  • Zhenjun Hu
  • Data mining in the metacyc family of pathway databases
  • Peter D. Karp, Suzanne Paley, and Tomer Altman
  • Gene set/pathway enrichment analysis
  • Jui-Hung Hung
  • Construction of functional linkage gene networks by data integration
  • Bolan Linghu, Eric A. Franzosa, and Yu Xia
  • Koji Tsuda and Elisabeth Georgii
  • Genome-wide association studies
  • Tun-Hsiang Yang, Mark Kon, and Charles DeLisi
  • Viral genome analysis and knowledge management
  • Carla Kuiken [and others]
  • Molecular network analysis of diseases and drugs in KEGG
  • Minoru Kanehisa
  • Discovering interacting domains and motifs in protein-protein interactions
  • Willy Hugo, Wing-Kin Sung, and See-Kiong Ng
  • Global alignment of protein-protein interaction networks
  • Misael Mongiovı and Roded Sharan
  • Structure learning for Bayesian networks as models of biological networks
  • Antti Larjo, Ilya Shmulevich, and Harri Lahdesmaki
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781627031066&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3368623'}
Extent
1 online resource (xii, 279 pages)
File format
unknown
Form of item
online
Isbn
9781627031066
Lccn
2012947383
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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