We introduce distributed feature representation, SpliceVec, to avoid explicit and biased feature extraction generally adopted for such tasks.

We introduce distributed feature representation, SpliceVec, to avoid explicit and biased feature extraction generally adopted for such tasks.

Aug 31, 2017 · SpliceVec: distributed feature representations for splice junction ... We propose two variations (SpliceVec- g and. SpliceVec- sp) for feature ...

Identification of splice junctions through RNA-seq is by mapping short reads to the reference genome which is prone to errors due to random sequence matches.

Mar 1, 2018 · SpliceVec is based on two widely used distributed representation models in natural language processing. Learned feature representation in form ...

A study on optimal context to be considered for feature extraction indicates inclusion of entire intronic sequence is better than flanking upstream and ...

SpliceVec is based on two widely used distributed representation models in natural language processing. Learned feature representation in form of SpliceVec is ...

Identification of intron boundaries, called splice junctions, is an important part of delineating gene structure and functions. This also provides valuable ...

SpliceVec is based on two widely used distributed representation models in natural language processing. Learned feature representation in form of SpliceVec is ...

SpliceVec: Distributed feature representations for splice junction prediction - aaiitggrp/SpliceVec-g.