Computational Approaches Reveal New Insights into Regulation and Function of Non; coding RNAs and their Targets

Computational Approaches Reveal New Insights into Regulation and Function of Non; coding RNAs and their Targets

Regulation and function of protein-coding genes are increasingly well-understood, but no comparable evidence exists for non-coding RNA (ncRNA) genes, which appear to be more numerous than protein-coding genes. We developed a novel machine-learning model to distinguish promoters of long ncRNA (lnc...

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Bibliographic Details
Main Author: Alam, Tanvir
Other Authors: Bajic, Vladimir B.
Language:en
Published: 2016
Subjects:
Long non-coding RNA
MiRNA
LD motif
Macrophage
Machine Learning
Bioinformatics
Online Access:Alam, T. (2016). Computational Approaches Reveal New Insights into Regulation and Function of Non; coding RNAs and their Targets. KAUST Research Repository. https://doi.org/10.25781/KAUST-D6V5D
http://hdl.handle.net/10754/621934

Internet

Alam, T. (2016). Computational Approaches Reveal New Insights into Regulation and Function of Non; coding RNAs and their Targets. KAUST Research Repository. https://doi.org/10.25781/KAUST-D6V5D
http://hdl.handle.net/10754/621934

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