Strengths and limitations of microarray-based phenotype prediction: Lessons learned from the IMPROVER Diagnostic Signature Challenge

Autor: Tarca, Al, Lauria, M, Unger, M, Bilal, E, Boue, S, Kumar Dey, K, Hoeng, J, Koeppl, H, Martin, F, Meyer, P, Nandy, P, Norel, R, Peitsch, M, Rice, Jj, Romero, R, Stolovitzky, G, Talikka, M, Xiang, Y, Zechner, C, IMPROVER DSC Collaborators: Alan Veliz Cuba, Joe, Song, Hien, Nguyen, Michael, Zeller, Peter, Sadowski, Steffen, Klamt, Sandra, Heise, Mika, Gustafsson, Alberto, Malovini, Francesca, Mulas, Nicola, Barbarini, Michael, Unger, Preetam, Nandy, Kushal Kumar Dey, Christoph, Zechner, Heinz, Koeppl, Nicoleta, Cristea, Tom, Petty, Liu, Yi, Tiffany Ting Liu, Cheng, Zhao, Giovanni, Felici, Mario, Lauria, Paolo, Provero, Tabak, Esteban G., Benjamin Haibe Kains, Simon Papillion Cavanagh, Nicolas De Jay, Rene, Dreos, Fengfeng, Zhou, Weixiong, Zhang, Zheng, Chen, Yuxuan, Hu, Kenny, Chau, de Almeida, Rita M. C., da Silva, Samoel R. M., Gabriel Cury Perrone, David, Rossell, Patrick, Aloy, Mei lyn Ong, Calin, Voichita, Saied, Haidarian, Rebecca, Tagett, Lydia, Hopp, Bo, Li, Bhattacharjee, M., Jian lei Gu, Meena, Choi, Christopher, Poirel, David, Badger, Ahsanur, Rahman, Richard, Rodrigues, Nikolay, Balov, Maria, Chikina, Elena, Zaslavsky, Tarca, Adi L., Roberto, Romero, Xianwen, Ren, Steve, Horvath, Lin, Song, Sol, Efroni, Rotem Ben Hamo, Mayte Suarez Farinas, Suyan, Tian, Seunghak, Lee, Wei Keat Lim, Xiaoping, Liu, Luonan, Chen, Tao, Zeng, Huang, Di, Inchi, Hu, mer Sinan Sarac, A., Torik, Ayoubi, Kai, Wang, Hooncho, Ji, Alan, Lin, Chao, Ye, Junfeng, Li, Hongfei, Cui, Peter, Salzman, Marko Sysi Aho, Sandra Castillo Priego, Matej, Oresic, Gopal, Peddinti, DI CAMILLO, Barbara, Zeke, Maier, Zhenshu, Wen, Xin dong Zhang

Publikováno v: Bioinformatics, 29 (22)

Bioinformatics, 29 (22)
ISSN:1367-4803
ISSN:1460-2059

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb6dc156c050dda32378da59237f5e8b

Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.

Autor: Tarca AL; Department of Computer Science, Wayne State University, Perinatology Research Branch, NICHD/NIH, Detroit, MI 48201, USA, The Microsoft Research - University of Trento Centre for Computational and Systems Biology, Rovereto 38068, Italy, ETH Zurich, Zurich 8092, Switzerland, IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598, USA and Philip Morris International, Research & Development, Neuchâtel CH-2000, Switzerland., Lauria M, Unger M, Bilal E, Boue S, Kumar Dey K, Hoeng J, Koeppl H, Martin F, Meyer P, Nandy P, Norel R, Peitsch M, Rice JJ, Romero R, Stolovitzky G, Talikka M, Xiang Y, Zechner C

Publikováno v: Bioinformatics (Oxford, England) [Bioinformatics] 2013 Nov 15; Vol. 29 (22), pp. 2892-9. Date of Electronic Publication: 2013 Aug 20.