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

A Bayesian Approach to Attention Control and Concept Abstraction

Autor: Majid Nili Ahmadabadi, Saied Haidarian Shahri

Publikováno v: Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint ISBN: 9783540773429
WAPCV

Representing and modeling knowledge in the face of uncertainty has always been a challenge in artificial intelligence. Graphical models are an apt way of representing uncertainty, and hidden variables in this framework are a way of abstraction of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33a7a6632208e3c71580a03317b63677
https://doi.org/10.1007/978-3-540-77343-6_10

An Extendable Meta-learning Algorithm for Ontology Mapping.

Autor: Shahri, Saied Haidarian, Jamil, Hasan

Publikováno v: Flexible Query Answering Systems (9783642049569); 2009, p418-430, 13p

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