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Mendeley readers
| Chapter title |
Accurate Detection of Differential Expression and Splicing Using Low-Level Features.
|
|---|---|
| Chapter number | 11 |
| Book title |
Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6518-2_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6516-8, 978-1-4939-6518-2
|
| Authors |
Tomi Suomi, Laura L. Elo |
| Editors |
Narendra Wajapeyee, Romi Gupta |
| Abstract |
Gene expression can be quantified in high throughput using microarray technology. Here we describe how to accurately detect differential expression and splicing using a probe-level expression change averaging (PECA) method. PECA is available as an R package from Bioconductor ( https://www.bioconductor.org ), and it supports multiple operating systems. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 60% |
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 40% |
| Computer Science | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Unknown | 1 | 20% |