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BioVec: Deep Learning for Proteomics by zhn20050407 is a document available to read on EtoBox.
This article presents a novel method for representing biological sequences using continuous distributed representations called bio-vectors (BioVec), specifically focusing on protein-vectors (ProtVec) for protein sequences. The method employs artificial neural networks to create dense n-dimensional vectors that can be utilized for various bioinformatics applications, achieving high accuracy in protein family classification and disordered protein identification. The study demonstrates that this representation
- Author
- zhn20050407
- Language
- EN