| Title |
Identification of differentially expressed genes in microarray data in a principal component space
|
|---|---|
| Published in |
SpringerPlus, February 2013
|
| DOI | 10.1186/2193-1801-2-60 |
| Pubmed ID | |
| Authors |
Luis Ospina, Liliana López-Kleine |
| Abstract |
Microarray experiments are often conducted in order to compare gene expression between two conditions. Tests to detected mean differential expression of genes between conditions are conducted applying correction for multiple testing. Seldom, relationships between gene expression and microarray conditions are investigated in a multivariate approach. Here we propose determining the relationship between genes and conditions using a Principal Component Analysis (PCA) space and classifying genes to one of two biological conditions based on their position relative to a direction on the PC space representing each condition. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| France | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 40% |
| Researcher | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Student > Master | 3 | 15% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 35% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Mathematics | 3 | 15% |
| Computer Science | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 2 | 10% |
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 19 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from SpringerPlus
#1,461
of 1,852 outputs
Outputs of similar age
#169,771
of 193,023 outputs
Outputs of similar age from SpringerPlus
#56
of 113 outputs
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So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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