|
| Status |
Public on Jan 11, 2019 |
| Title |
Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
We perform a large-scale RNA sequencing study to experimentally identify genes that are downregulated by 25 miRNAs. This RNA-seq dataset is combined with public miRNA target binding data to systematically identify miRNA targeting features that are characteristic of both miRNA binding and target downregulation. By integrating these common features in a machine learning framework, we develop and validate an improved computational model for genome-wide miRNA target prediction. All prediction data can be accessed at miRDB (http://mirdb.org).
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| |
|
| Overall design |
RNA-seq to identify transcript targets that are downregulated by overexpression of 25 individual miRNAs.
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| |
|
| Contributor(s) |
Wang X, Liu W |
| Citation(s) |
30670076 |
| Submission date |
Jan 01, 2019 |
| Last update date |
Jan 24, 2019 |
| Contact name |
Xiaowei Wang |
| Organization name |
University of Illinois at Chicago
|
| Street address |
909 S Wolcott Ave, Rm 5137
|
| City |
Chicago |
| State/province |
IL |
| ZIP/Postal code |
60612 |
| Country |
USA |
| |
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| Platforms (1) |
| GPL21290 |
Illumina HiSeq 3000 (Homo sapiens) |
|
| Samples (52)
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|
| Relations |
| BioProject |
PRJNA512378 |
| SRA |
SRP174973 |
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