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2016, ISBN 8132236289
This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of... 
Engineering mathematics | Applied mathematics | Data mining | Statistics
Web Resource
2016, Lecture Notes in Computer Science, ISBN 9783319497488, Volume 10044
This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto,... 
Computer science | Information storage and retrieval | Algorithms | Computer simulation | Database management | Data mining
Web Resource
2016, Lecture Notes in Computer Science, ISBN 9783319497488, Volume 10044
This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto,... 
Computer science | Information storage and retrieval | Algorithms | Computer simulation | Database management | Data mining
Web Resource
by Aghaeepour, Nima and Finak, Greg and Hoos, Holger and Mosmann, Tim R and Brinkman, Ryan and Gottardo, Raphael and Scheuermann, Richard H and Dougall, David and Khodabakhshi, Alireza Hadj and Mah, Phillip and Obermoser, Gerlinde and Spidlen, Josef and Taylor, Ian and Wuensch, Sherry A and Bramson, Jonathan and Eaves, Connie and Weng, Andrew P and Fortuno III, Edgardo S and Ho, Kevin and Kollmann, Tobias R and Rogers, Wade and De Rosa, Stephen and Dalai, Bakul and Azad, Ariful and Pothen, Alex and Brandes, Aaron and Bretschneider, Hannes and Bruggner, Robert and Finck, Rachel and Jia, Robin and Zimmerman, Noah and Linderman, Michael and Dill, David and Nolan, Gary and Chan, Cliburn and Khettabi, Faysal El and O'Neill, Kieran and Chikina, Maria and Ge, Yongchao and Sealfon, Stuart and Sugár, István and Gupta, Arvind and Shooshtari, Parisa and Zare, Habil and De Jager, Philip L and Jiang, Mike and Keilwagen, Jens and Maisog, Jose M and Luta, George and Barbo, Andrea A and Májek, Peter and Vilček, Jozef and Manninen, Tapio and Huttunen, Heikki and Ruusuvuori, Pekka and Nykter, Matti and McLachlan, Geoffrey J and Wang, Kui and Naim, Iftekhar and Sharma, Gaurav and Nikolic, Radina and Pyne, Saumyadipta and Qian, Yu and Qiu, Peng and Quinn, John and Roth, Andrew and Meyer, Pablo and Stolovitzky, Gustavo and Saez-Rodriguez, Julio and Norel, Raquel and Bhattacharjee, Madhuchhanda and Biehl, Michael and Bucher, Philipp and Bunte, Kerstin and Di Camillo, Barbara and Sambo, Francesco and Sanavia, Tiziana and Trifoglio, Emanuele and Toffolo, Gianna and Slavica Dimitrieva, S.D and Dreos, Rene and Ambrosini, Giovanna and Grau, Jan and Grosse, Ivo and Posch, Stefan and Guex, Nicolas and Kursa, Miron and Rudnicki, Witold and Liu, Bo and Maienschein-Cline, Mark and Schneider, Petra and Seifert, Michael and Strickert, Marc and Vilar, Jose M. G and DREAM Consortium and FlowCAP Consortium and The FlowCAP Consortium and The DREAM Consortium
Nature Methods, ISSN 1548-7091, 03/2013, Volume 10, Issue 3, pp. 228 - 238
Journal Article
Journal Article
Computers in Biology and Medicine, ISSN 0010-4825, 10/2019, Volume 113, p. 103389
Gene set analysis is a popular approach to examine the association between a predefined gene set and a phenotype. Few methods have been developed for a... 
DNA microarray | Gene set reduction | Continuous phenotype | Pathways | Gene expression
Journal Article
Sexually Transmitted Infections, ISSN 1368-4973, 07/2019, Volume 95, Issue Suppl 1, p. A263
BackgroundPreterm birth (PTB) is common worldwide and causes significant neonatal morbidity. Although ascending reproductive tract infection has been... 
Journal Article
Cancer Informatics, ISSN 1176-9351, 09/2017, Volume 2017, Issue 16, p. 1176935117730016
The Gleason score (GS) plays an important role in prostate cancer detection and treatment. It is calculated based on a sum between its major and minor... 
Gene set reduction | Gene set analysis | DNA microarrays | Gleason scores | Core subsets
Journal Article
BMC bioinformatics, ISSN 1471-2105, 2012, Volume 13, Issue Suppl 2, pp. S10 - S10
Journal Article