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GeNets: A unified web platform for network-based analyses of genomic data
Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to quantitatively compare the signal-to-noise ratio of different networks, the biology they describe, and to identify the optimal network to interpret a par...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450090/ https://www.ncbi.nlm.nih.gov/pubmed/29915188 http://dx.doi.org/10.1038/s41592-018-0039-6 |
| _version_ | 1783408977941364736 |
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| author | Li, Taibo Kim, April Rosenbluh, Joseph Horn, Heiko Greenfeld, Liraz An, David Zimmer, Andrew Liberzon, Arthur Bistline, Jon Natoli, Ted Li, Yang Tsherniak, Aviad Narayan, Rajiv Subramanian, Aravind Liefeld, Ted Wong, Bang Thompson, Dawn Calvo, Sarah Carr, Steve Boehm, Jesse Jaffe, Jake Mesirov, Jill Hacohen, Nir Regev, Aviv Lage, Kasper |
| author_facet | Li, Taibo Kim, April Rosenbluh, Joseph Horn, Heiko Greenfeld, Liraz An, David Zimmer, Andrew Liberzon, Arthur Bistline, Jon Natoli, Ted Li, Yang Tsherniak, Aviad Narayan, Rajiv Subramanian, Aravind Liefeld, Ted Wong, Bang Thompson, Dawn Calvo, Sarah Carr, Steve Boehm, Jesse Jaffe, Jake Mesirov, Jill Hacohen, Nir Regev, Aviv Lage, Kasper |
| author_sort | Li, Taibo |
| collection | PubMed |
| description | Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to quantitatively compare the signal-to-noise ratio of different networks, the biology they describe, and to identify the optimal network to interpret a particular genetic dataset. Via GeNets users can train a machine-learning model (Quack) to make such comparisons; and they can execute, store, and share analyses of genetic and RNA sequencing datasets. |
| format | Online Article Text |
| id | pubmed-6450090 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2018 |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-64500902019-04-05 GeNets: A unified web platform for network-based analyses of genomic data Li, Taibo Kim, April Rosenbluh, Joseph Horn, Heiko Greenfeld, Liraz An, David Zimmer, Andrew Liberzon, Arthur Bistline, Jon Natoli, Ted Li, Yang Tsherniak, Aviad Narayan, Rajiv Subramanian, Aravind Liefeld, Ted Wong, Bang Thompson, Dawn Calvo, Sarah Carr, Steve Boehm, Jesse Jaffe, Jake Mesirov, Jill Hacohen, Nir Regev, Aviv Lage, Kasper Nat Methods Article Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to quantitatively compare the signal-to-noise ratio of different networks, the biology they describe, and to identify the optimal network to interpret a particular genetic dataset. Via GeNets users can train a machine-learning model (Quack) to make such comparisons; and they can execute, store, and share analyses of genetic and RNA sequencing datasets. 2018-06-18 2018-07 /pmc/articles/PMC6450090/ /pubmed/29915188 http://dx.doi.org/10.1038/s41592-018-0039-6 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
| spellingShingle | Article Li, Taibo Kim, April Rosenbluh, Joseph Horn, Heiko Greenfeld, Liraz An, David Zimmer, Andrew Liberzon, Arthur Bistline, Jon Natoli, Ted Li, Yang Tsherniak, Aviad Narayan, Rajiv Subramanian, Aravind Liefeld, Ted Wong, Bang Thompson, Dawn Calvo, Sarah Carr, Steve Boehm, Jesse Jaffe, Jake Mesirov, Jill Hacohen, Nir Regev, Aviv Lage, Kasper GeNets: A unified web platform for network-based analyses of genomic data |
| title | GeNets: A unified web platform for network-based analyses of genomic data |
| title_full | GeNets: A unified web platform for network-based analyses of genomic data |
| title_fullStr | GeNets: A unified web platform for network-based analyses of genomic data |
| title_full_unstemmed | GeNets: A unified web platform for network-based analyses of genomic data |
| title_short | GeNets: A unified web platform for network-based analyses of genomic data |
| title_sort | genets: a unified web platform for network-based analyses of genomic data |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450090/ https://www.ncbi.nlm.nih.gov/pubmed/29915188 http://dx.doi.org/10.1038/s41592-018-0039-6 |
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