
Data Mining for Systems Biology: Methods and Protocols
Hiroshi Mamitsuka
Résumé
Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.
1. Identifying Bacterial Strains from Sequencing Data
Tommi Maklin, Jukka Corander, and Antti Honkela
2. MetaVW: Large-Scale Machine Learning for Metagenomics Sequence Classification
Kevin Vervier, Pierre Mahe, and Jean-Philippe Vert
3. Online Interactive Microbial Classification and Geospatial Distributional Analysis Using BioAtlas
Jesper Lund, Qihua Tan, and Jan Baumbach
4. Generative Models for Quantification of DNA Modifications
Tarmo AEijoe, Richard Bonneau, and Harri Lahdesmaki
5. DiMmer: Discovery of Differentially Methylated Regions in Epigenome-Wide Association Study (EWAS) Data
Tobias Frisch, Jonatan Gottcke, Richard Roettger, Qihua Tan, and Jan Baumbach
6. Implementing a Transcription Factor Interaction Prediction System Using the GenoMetric Query Language
Stefano Perna, Arif Canakoglu, Pietro Pinoli, Stefano Ceri, and Limsoon Wong
7. Multiple Testing Tool to Detect Combinatorial Effects in Biology
Aika Terada and Koji Tsuda
8. SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining
Kei-ichiro Takahashi, David A. duVerle, Sohiya Yotsukura, Ichigaku Takigawa, and Hiroshi Mamitsuka
9. Computing and Visualizing Gene Function Similarity and Coherence with NaviGO
Ziyun Ding, Qing Wei, and Daisuke Kihara
10. Analyzing Glycan Binding Profiles Using Weighted Multiple Alignment of Trees
Kiyoko F. Aoki-Kinoshita
11. Analysis of Fluxomic Experiments with Principal Metabolic Flux Mode Analysis
Sahely Bhadra and Juho Rousu
12. Analyzing Tandem Mass Spectra Using the DRIP Toolkit: Training, Searching, and Post-Processing
John T. Halloran
13. Sparse Modeling to Analyze Drug-Target Interaction Networks
Yoshihiro Yamanishi
14. DrugE-Rank: Predicting Drug-Target Interactions by Learning to Rank
Jieyao Deng, Qingjun Yuan, Hiroshi Mamitsuka, and Shanfeng Zhu
15. MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH Indexing
Shengwen Peng, Hiroshi Mamitsuka, and Shanfeng Zhu
16. Disease Gene Classification with Metagraph Representations
Sezin Kircali Ata, Yuan Fang, Min Wu, Xiao-Li Li, and Xiaokui Xiao
17. Inferring Antimicrobial Resistance from Pathogen Genomes in KEGG
Minoru Kanehisa
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Springer |
Auteur(s) | Hiroshi Mamitsuka |
Parution | 20/07/2018 |
Nb. de pages | 243 |
EAN13 | 9781493985609 |
Avantages Eyrolles.com
Consultez aussi
- Les meilleures ventes en Graphisme & Photo
- Les meilleures ventes en Informatique
- Les meilleures ventes en Construction
- Les meilleures ventes en Entreprise & Droit
- Les meilleures ventes en Sciences
- Les meilleures ventes en Littérature
- Les meilleures ventes en Arts & Loisirs
- Les meilleures ventes en Vie pratique
- Les meilleures ventes en Voyage et Tourisme
- Les meilleures ventes en BD et Jeunesse