Abstract:
RNA-seq produces detailed information including length, strand and pairing states, which can be leveraged to characterize RNA functional categories using machine-learning...Show MoreMetadata
Abstract:
RNA-seq produces detailed information including length, strand and pairing states, which can be leveraged to characterize RNA functional categories using machine-learning approaches. Using fruit fly small-RNA-seq data, we demonstrate that by combining read length correlation with multi-class classifier models, we can classify four non-coding RNA function classes with high precision.
Published in: 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)
Date of Conference: 03-05 February 2011
Date Added to IEEE Xplore: 14 March 2011
ISBN Information:
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