| Title |
A novel biclustering approach with iterative optimization to analyze gene expression data
|
|---|---|
| Published in |
Advances and Applications in Bioinformatics and Chemistry : AABC, September 2012
|
| DOI | 10.2147/aabc.s32622 |
| Pubmed ID | |
| Authors |
Sawannee Sutheeworapong, Motonori Ota, Hiroyuki Ohta, Kengo Kinoshita |
| Abstract |
With the dramatic increase in microarray data, biclustering has become a promising tool for gene expression analysis. Biclustering has been proven to be superior over clustering in identifying multifunctional genes and searching for co-expressed genes under a few specific conditions; that is, a subgroup of all conditions. Biclustering based on a genetic algorithm (GA) has shown better performance than greedy algorithms, but the overlap state for biclusters must be treated more systematically. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Ph. D. Student | 3 | 27% |
| Unspecified | 1 | 9% |
| Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 55% |
| Computer Science | 2 | 18% |
| Unspecified | 1 | 9% |
| Unknown | 2 | 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 07 September 2012.
All research outputs
#22,905,350
of 25,540,105 outputs
Outputs from Advances and Applications in Bioinformatics and Chemistry : AABC
#41
of 55 outputs
Outputs of similar age
#170,091
of 188,470 outputs
Outputs of similar age from Advances and Applications in Bioinformatics and Chemistry : AABC
#1
of 1 outputs
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So far Altmetric has tracked 55 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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