利用自编码器算法进行lincRNA识别的深度学习方法

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2016-10-01 DOI:10.1109/ICCABS.2016.7802797

Ning Yu, Zeng Yu, Yi Pan

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引用次数: 2

摘要

LincRNAs比编码RNA序列多四倍。然而，目前仅通过计算发现了21000个lincrna[1]。虽然这是lincRNA鉴定中最重要的发现之一，但对lincRNA的鉴定还远未完成，预测的lincRNA尚未得到验证。目前新发现的lincrna大多来自RNA-seq转录本数据的计算分析，而基于深度学习的方法在检测和验证lincrna方面很少见到。

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A deep learning method for lincRNA identification using auto-encoder algorithm

LincRNAs are four times more than coding RNA sequences. However, currently only 21 thousand lincRNAs are computationally discovered [1]. Although this was one of the most important findings in lincRNA identification, identification of lincRNAs is far from being complete and those predicted lincRNAs are not validated yet. Currently new identified lincRNAs are most from the computational analysis of RNA-seq transcript data while deep learning based methods are barely seen in detecting and validating lincRNAs.

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来源期刊

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences

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