Data mining for systems biology : methods and protocols /

Saved in:
Bibliographic Details
Edition:Second edition
Imprint:New York : Humana Press : Springer, [2018]
©2018
Description:1 online resource (xi, 243 pages) : illustrations (some color)
Language:English
Series:Methods in molecular biology ; 1807
Methods in molecular biology (Clifton, N.J.) ; v. 1807.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11678763
Hidden Bibliographic Details
Other authors / contributors:Mamitsuka, Hiroshi, editor.
ISBN:9781493985616
1493985612
1493985604
9781493985609
9781493985609
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Other form:Print version: Data mining for systems biology. New York : Humana Press ; Springer, 2018 9781493985609

MARC

LEADER 00000cam a2200000Ii 4500
001 11678763
006 m o d
007 cr cnu---unuuu
008 180723t20182018nyua ob 001 0 eng d
005 20240705162934.7
010 |a  2018948727 
019 |a 1077305585  |a 1081216051  |a 1084345151 
020 |a 9781493985616  |q (electronic bk.) 
020 |a 1493985612  |q (electronic bk.) 
020 |a 1493985604 
020 |a 9781493985609 
020 |z 9781493985609  |q (print) 
035 |a (OCoLC)1045427118  |z (OCoLC)1077305585  |z (OCoLC)1081216051  |z (OCoLC)1084345151 
035 9 |a (OCLCCM-CC)1045427118 
040 |a RML  |b eng  |e pn  |c RML  |d RML  |d GW5XE  |d OCLCF  |d UAB  |d OCLCO  |d STF  |d U3W  |d LVT  |d VT2  |d OCLCO  |d OCLCA  |d CAUOI  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCA 
049 |a MAIN 
050 4 |a QH324.2 
060 4 |a W1  |b ME9616J v.1807 2018 
060 4 |a QU 25 
245 0 0 |a Data mining for systems biology :  |b methods and protocols /  |c edited by Hiroshi Mamitsuka. 
250 |a Second edition 
264 1 |a New York :  |b Humana Press :  |b Springer,  |c [2018] 
264 4 |c ©2018 
300 |a 1 online resource (xi, 243 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Methods in molecular biology ;  |v 1807 
504 |a Includes bibliographical references and index. 
505 0 0 |t Identifying bacterial strains from sequencing data /  |r Tommi Mäklin, Jukka Corander, and Antti Honkela --  |t MetaVW : large-scale machine learning for metagenomics sequence classification /  |r Kévin Vervier, Pierre Mahé, and Jean-Philippe Vert --  |t Online interactive microbial classification and geospatial distributional analysis using BioAtlas /  |r Jesper Lund, Qihua Tan, and Jan Baumbach --  |t Generative models for quantification of DNA modifications /  |r Tarmo Äijö, Richard Bonneau, and Harri Lähdesmäki --  |t DiMmer : discovery of differentially methylated regions in epigenome-wide association study (EWAS) data /  |r Tobias Frisch, Jonatan Gøttcke, Richard Röttger, Qihua Tan, and Jan Baumbach --  |t Implementing a transcription factor interaction prediction system using the GenoMetric query language /  |r Stefano Perna, Arif Canakoglu, Pietro Pinoli, Stefano Ceri, and Limsoon Wong --  |t Multiple testing tool to detect combinatorial effects in biology /  |r Aika Terada and Koji Tsuda --  |t SiBIC : a tool for generating a network of biclusters captured by maximal frequent itemset mining /  |r Kei-ichiro Takahashi, David A. duVerle, Sohiya Yotsukura, Ichigaku Takigawa, and Hiroshi Mamitsuka --  |t Computing and visualizing gene function similarity and coherence with NaviGO /  |r Ziyun Ding, Qing Wei, and Daisuke Kihara --  |t Analyzing glycan-binding profiles using weighted multiple alignment of trees /  |r Kiyoko F. Aoki-Kinoshita --  |t Analysis of fluxomic experiments with principal metabolic FluxMode analysis /  |r Sahely Bhadra and Juho Rousu --  |t Analyzing tandem mass spectra using the DRIP toolkit : training, searching, and post-processing /  |r John T. Halloran --  |t Sparse modeling to analyze drug-target interaction networks /  |r Yoshihiro Yamanishi --  |t DrugE-rank : predicting drug-target interactions by learning to rank /  |r Jieyao Deng, Qingjun Yuan, Hiroshi Mamitsuka, and Shanfeng Zhu --  |t MeSHLabeler and DeepMeSH : recent progress in large-scale MeSH indexing /  |r Shengwen Peng, Hiroshi Mamitsuka, and Shanfeng Zhu --  |t Disease gene classification with metagraph representations /  |r Sezin Kircali Ata, Yuan Fang, Min Wu, Xiao-Li Li, and Xiaokui Xiao --  |t Inferring antimicrobial resistance from pathogen genomes in KEGG /  |r Minoru Kanehisa. 
650 0 |a Systems biology  |v Laboratory manuals. 
650 0 |a Data mining  |v Laboratory manuals. 
650 1 2 |a Systems Biology  |x methods. 
650 2 2 |a Data Mining  |x methods.  |0 https://id.nlm.nih.gov/mesh/D057225Q000379 
650 2 2 |a Sequence Analysis  |x methods. (dnlm)d017421q000379 
650 7 |a Data mining.  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Systems biology.  |2 fast  |0 (OCoLC)fst01745552 
655 2 |a Laboratory Manual. 
655 4 |a Electronic books. 
655 7 |a Laboratory manuals.  |2 fast  |0 (OCoLC)fst01920776 
700 1 |a Mamitsuka, Hiroshi,  |e editor. 
776 0 8 |i Print version:  |t Data mining for systems biology.  |d New York : Humana Press ; Springer, 2018  |z 9781493985609 
830 0 |a Methods in molecular biology (Clifton, N.J.) ;  |v v. 1807.  |0 http://id.loc.gov/authorities/names/n92002874 
903 |a HeVa 
929 |a oclccm 
999 f f |i bfdfc071-a77c-58e2-8f93-c0f3238bf3aa  |s 4da03dab-7947-5885-ad28-a9fcb2bbe0a7 
928 |t Library of Congress classification  |a QH324.2  |l Online  |c UC-FullText  |u https://link.springer.com/10.1007/978-1-4939-8561-6  |z Springer Nature  |g ebooks  |i 12555996