all AI news
Macromolecule Classification Based on the Amino-acid Sequence. (arXiv:2001.01717v2 [q-bio.BM] UPDATED)
Sept. 23, 2022, 1:12 a.m. | Faisal Ghaffar, Sarwar Khan, Gaddisa O., Chen Yu-jhen
cs.LG updates on arXiv.org arxiv.org
Deep learning is playing a vital role in every field which involves data. It
has emerged as a strong and efficient framework that can be applied to a broad
spectrum of complex learning problems which were difficult to solve using
traditional machine learning techniques in the past. In this study we focused
on classification of protein sequences with deep learning techniques. The study
of amino acid sequence is vital in life sciences. We used different word
embedding techniques from Natural …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne