Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges

Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges

Precision medicine aims to predict a patient's disease risk and best therapeutic options by using that individual's genetic sequencing data. The Critical Assessment of Genome Interpretation (CAGI) is a community experiment consisting of genotype–phenotype prediction challenges; participant...

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Bibliographic Details
Main Authors: Daneshjou, Roxana, Wang, Yanran, Bromberg, Yana, Bovo, Samuele, Martelli, Pier L, Babbi, Giulia, Di Lena, Pietro, Casadio, Rita, Edwards, Matthew D, Gifford, David K, Jones, David T, Sundaram, Laksshman, Bhat, Rajendra, Li, Xiaolin, Pal, Lipika R., Kundu, Kunal, Yin, Yizhou, Moult, John, Jiang, Yuxiang, Pejaver, Vikas, Pagel, Kymberleigh A., Li, Biao, Mooney, Sean D., Radivojac, Predrag, Shah, Sohela, Carraro, Marco, Gasparini, Alessandra, Leonardi, Emanuela, Giollo, Manuel, Ferrari, Carlo, Tosatto, Silvio C E, Bachar, Eran, Azaria, Johnathan R., Ofran, Yanay, Unger, Ron, Niroula, Abhishek, Vihinen, Mauno, Chang, Billy, Wang, Maggie H, Franke, Andre, Petersen, Britt-Sabina, Pirooznia, Mehdi, Zandi, Peter, McCombie, Richard, Potash, James B, Altman, Russ, Klein, Teri E., Hoskins, Roger, Repo, Susanna, Brenner, Steve E, Morgan, Alexander A
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Wiley 2021
Online Access:https://hdl.handle.net/1721.1/129418

Internet

https://hdl.handle.net/1721.1/129418

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