| Chapter title |
Analysis of Gene Expression Patterns Using Biclustering
|
|---|---|
| Chapter number | 280 |
| Book title |
Microarray Data Analysis
|
| Published in |
Methods in molecular biology, September 2015
|
| DOI | 10.1007/7651_2015_280 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3172-9, 978-1-4939-3173-6
|
| Authors |
Swarup Roy, Dhruba K. Bhattacharyya, Jugal K. Kalita, Roy, Swarup, Bhattacharyya, Dhruba K., Kalita, Jugal K. |
| Abstract |
Mining microarray data to unearth interesting expression profile patterns for discovery of in silico biological knowledge is an emerging area of research in computational biology. A group of functionally related genes may have similar expression patterns under a set of conditions or at some time points. Biclustering is an important data mining tool that has been successfully used to analyze gene expression data for biologically significant cluster discovery. The purpose of this chapter is to introduce interesting patterns that may be observed in expression data and discuss the role of biclustering techniques in detecting interesting functional gene groups with similar expression patterns. |
Mendeley readers
Geographical breakdown
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|---|---|---|
| Iran, Islamic Republic of | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Unspecified | 2 | 18% |
| Student > Master | 2 | 18% |
| Researcher | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Unspecified | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |