Biclustering Methods in Chemoinformatics and Molecular Modeling

Nolen Perualila-Tan; Ziv Shkedy; Aakash Chavan Ravindranath; Georgios Drakakis; Sonia Liggi; Andreas Bender; Adetayo Kasim; null QSTAR Consortium; Willem Talloen; Hinrich W.H. Göhlmann

Biclustering Methods in Chemoinformatics and Molecular Modeling

Nolen Perualila-Tan, Ziv Shkedy, Aakash Chavan Ravindranath, Georgios Drakakis, Sonia Liggi, Andreas Bender, Adetayo Kasim, QSTAR Consortium, Willem Talloen, Hinrich W.H. Göhlmann

Institute for Machine Learning

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Applied Biclustering Methods for Big and High-Dimensional Data Using R
Publisher	Taylor & Francis Group
Pages	175-202
Number of pages	28
Publication status	Published - 2016

Publication series

Name	Chapman & Hall/CRC Biostatistics Series

Fields of science

303 Health Sciences
304 Medical Biotechnology
304003 Genetic engineering
305 Other Human Medicine, Health Sciences
101004 Biomathematics
101018 Statistics
102 Computer Sciences
102001 Artificial intelligence
102004 Bioinformatics
102010 Database systems
102015 Information systems
102019 Machine learning
106023 Molecular biology
106002 Biochemistry
106005 Bioinformatics
106007 Biostatistics
106041 Structural biology
301 Medical-Theoretical Sciences, Pharmacy
302 Clinical Medicine

JKU Focus areas

Computation in Informatics and Mathematics
Nano-, Bio- and Polymer-Systems: From Structure to Function
Medical Sciences (in general)
Health System Research
Clinical Research on Aging

Cite this

Perualila-Tan, N., Shkedy, Z., Ravindranath, A. C., Drakakis, G., Liggi, S., Bender, A., Kasim, A., QSTAR Consortium, Talloen, W., & Göhlmann, H. W. H. (2016). Biclustering Methods in Chemoinformatics and Molecular Modeling. In Applied Biclustering Methods for Big and High-Dimensional Data Using R (pp. 175-202). (Chapman & Hall/CRC Biostatistics Series). Taylor & Francis Group.

@inbook{4d01d5ab41b040a98fac5c7409bfce34,

title = "Biclustering Methods in Chemoinformatics and Molecular Modeling",

author = "Nolen Perualila-Tan and Ziv Shkedy and Ravindranath, {Aakash Chavan} and Georgios Drakakis and Sonia Liggi and Andreas Bender and Adetayo Kasim and {QSTAR Consortium} and Willem Talloen and G{\"o}hlmann, {Hinrich W.H.}",

year = "2016",

language = "English",

series = "Chapman & Hall/CRC Biostatistics Series",

publisher = "Taylor & Francis Group",

pages = "175--202",

booktitle = "Applied Biclustering Methods for Big and High-Dimensional Data Using R",

}

Biclustering Methods in Chemoinformatics and Molecular Modeling. / Perualila-Tan, Nolen; Shkedy, Ziv; Ravindranath, Aakash Chavan et al.
Applied Biclustering Methods for Big and High-Dimensional Data Using R. Taylor & Francis Group, 2016. p. 175-202 (Chapman & Hall/CRC Biostatistics Series).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Biclustering Methods in Chemoinformatics and Molecular Modeling

AU - Perualila-Tan, Nolen

AU - Shkedy, Ziv

AU - Ravindranath, Aakash Chavan

AU - Drakakis, Georgios

AU - Liggi, Sonia

AU - Bender, Andreas

AU - Kasim, Adetayo

AU - QSTAR Consortium, null

AU - Talloen, Willem

AU - Göhlmann, Hinrich W.H.

PY - 2016

Y1 - 2016

UR - http://www.bioinf.jku.at/publications/

M3 - Chapter

T3 - Chapman & Hall/CRC Biostatistics Series

SP - 175

EP - 202

BT - Applied Biclustering Methods for Big and High-Dimensional Data Using R

PB - Taylor & Francis Group

ER -

Biclustering Methods in Chemoinformatics and Molecular Modeling

Publication series

Fields of science

JKU Focus areas

Other files and links

Cite this