Journal article
Guidelines for using sigQC for systematic evaluation of gene signatures
- Abstract:
-
With the increased use of next-generation sequencing generating large amounts of genomic data, gene expression signatures are becoming critically important tools for the interpretation of these data, and are poised to have a substantial effect on diagnosis, management, and prognosis for a number of diseases. It is becoming crucial to establish whether the expression patterns and statistical properties of sets of genes, or gene signatures, are conserved across independent datasets. Conversely,...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
+ Medical Research Council
More from this funder
Funding agency for:
Domingo, E
Maughan, T
Grant:
MR/M016587/1
MR/M016587/1
Bibliographic Details
- Publisher:
- Springer Nature Publisher's website
- Journal:
- Nature Protocols Journal website
- Volume:
- 14
- Pages:
- 1377–1400
- Publication date:
- 2019-04-10
- Acceptance date:
- 2019-01-11
- DOI:
- EISSN:
-
1750-2799
- ISSN:
-
1754-2189
- Pmid:
-
30971781
Item Description
- Language:
- English
- Pubs id:
-
pubs:987943
- UUID:
-
uuid:897cb186-92b0-44e2-b94f-447c3a5a18bc
- Local pid:
- pubs:987943
- Source identifiers:
-
987943
- Deposit date:
- 2019-06-19
Terms of use
- Copyright holder:
- Dhawan et al.
- Copyright date:
- 2019
- Rights statement:
- © Dhawan et al.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Springer Nature at: https://doi.org/10.1038/s41596-019-0136-8
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