Title |
Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia
|
---|---|
Published in |
BMC Medical Genomics, November 2013
|
DOI | 10.1186/1755-8794-6-51 |
Pubmed ID | |
Authors |
Eduardo Tejera, João Bernardes, Irene Rebelo |
Abstract |
In this study, we explored the gene prioritization in preeclampsia, combining co-expression network analysis and genetic algorithms optimization approaches. We analysed five public projects obtaining 1,146 significant genes after cross-platform and processing of 81 and 149 microarrays in preeclamptic and normal conditions, respectively. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Singapore | 1 | 2% |
Unknown | 53 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 22% |
Student > Bachelor | 7 | 13% |
Researcher | 7 | 13% |
Student > Master | 7 | 13% |
Professor > Associate Professor | 6 | 11% |
Other | 6 | 11% |
Unknown | 10 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 24% |
Biochemistry, Genetics and Molecular Biology | 12 | 22% |
Computer Science | 7 | 13% |
Medicine and Dentistry | 5 | 9% |
Engineering | 3 | 5% |
Other | 5 | 9% |
Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from BMC Medical Genomics
#1,001
of 1,222 outputs
Outputs of similar age
#185,057
of 212,483 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 21 outputs
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