Decoding disease: from genomes to networks to phenotypes.
Saved in:
| Title: | Decoding disease: from genomes to networks to phenotypes. |
|---|---|
| Authors: | Wong AK; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA., Sealfon RSG; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA., Theesfeld CL; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA., Troyanskaya OG; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA. ogt@cs.princeton.edu.; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA. ogt@cs.princeton.edu.; Department of Computer Science, Princeton University, Princeton, NJ, USA. ogt@cs.princeton.edu. |
| Source: | Nature reviews. Genetics [Nat Rev Genet] 2021 Dec; Vol. 22 (12), pp. 774-790. Date of Electronic Publication: 2021 Aug 02. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 100962779 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-0064 (Electronic) Linking ISSN: 14710056 NLM ISO Abbreviation: Nat Rev Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1471-0064 |
|---|---|
| DOI: | 10.1038/s41576-021-00389-x |
