TY  - BOOK
AU  - Yves,Moreau
AU  - Tranchevent,L-C.
TI  - Computational tools for prioritizing candidate genes: boosting disease gene discovery
N2  - At different stages of any research project, molecular biologists need to choose -often somewhat arbitrarily, even after careful statistical data analysis - which genes or proteins to investigate further experimentally and which to leave out because of limited resources. Computational methods that integrate complex, heterogeneous data sets - such as expression data, sequence information, functional annotation and the biomedical literature - allow prioritizing genes for future study in a more informed way. Such methods can substantially increase the yield of downstream studies and are becoming invaluable to researchers
UR  - https://drive.google.com/file/d/1M-uigw8lwJ7TxBu1esxuFE4A5NSVZ1Cs/view?usp=drivesdk
ER  -