Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data. (Q31159561)

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9 January 2020

title

Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data (English)

1 reference

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9 January 2020

2

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9 January 2020

Fabio Rosa

3

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9 January 2020

Ugo Ala

4

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9 January 2020

Ferdinando Di Cunto

6

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9 January 2020

author name string

Laura Miozzi

1

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9 January 2020

Lorenzo Silengo

5

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9 January 2020

Paolo Provero

7

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9 January 2020

language of work or name

English

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publication date

18 June 2008

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9 January 2020

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9 January 2020

volume

3

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9 January 2020

issue

6

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9 January 2020

page(s)

e2439

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Creative Commons Attribution 4.0 International

9 January 2020

copyright license

start time

18 June 2008

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April 2022 Public Data File from Crossref

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1 reference

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NCBI GEO: mining tens of millions of expression profiles--database and tools update

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The functional landscape of mouse gene expression

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Pre-mRNA splicing and human disease

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Thirty distinct CACNA1F mutations in 33 families with incomplete type of XLCSNB and Cacna1f expression profiling in mouse retina

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Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

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Computational analysis of microarray data

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Gene expression analyses reveal molecular relationships among 20 regions of the human CNS.

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PubMed

https://pubmed.ncbi.nlm.nih.gov/18560577

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https://pubmed.ncbi.nlm.nih.gov/18560577

inferred from PubMed ID database lookup

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Identifiers

DOI

10.1371/JOURNAL.PONE.0002439

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9 January 2020

0 references

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9 January 2020

PubMed publication ID

18560577

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