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Mendeley readers
| Chapter title |
microRNA Target Prediction.
|
|---|---|
| Chapter number | 13 |
| Book title |
Cancer Gene Networks
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6539-7_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6537-3, 978-1-4939-6539-7
|
| Authors |
William Ritchie |
| Editors |
Usha Kasid, Robert Clarke |
| Abstract |
microRNAs are short RNAs that reduce gene expression by binding to their targets. Computational predictions indicate that all human genes may be regulated by microRNAs, with each microRNA possibly targeting thousands of genes. Commonly used software will produce a prohibitive number of predicted targets for each microRNA. Here I describe procedures that refine these predictions by integrating available software and expression data from experiments available online. These procedures are tailored to experiments where predicting true targets is more important than detecting all putative targets. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| France | 1 | 1% |
| Argentina | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 69 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 31% |
| Researcher | 10 | 14% |
| Student > Master | 10 | 14% |
| Student > Postgraduate | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 43% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Medicine and Dentistry | 7 | 9% |
| Computer Science | 6 | 8% |
| Mathematics | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 12 | 16% |