Naslov
Rapid Microbe Detection Using Deep Learning

Autori
Bakić, Sara

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Mjesto
Zagreb

Datum
01.07

Godina
2021

Stranica
50

Mentor
Šikić, Mile

Neposredni voditelj
Stanojević, Dominik

Ključne riječi
bioinformatics ; microbe detection ; deep learning ; attention ; transformers ; triplet loss ; classification

Sažetak
Microbes are microscopic organisms invisible to the naked eye with a significant role in everyday life. The ability to detect and accurately classify them is essential to discover diseases, prescribe medication, keep a healthy lifestyle in general. The main goal of this thesis is develop a deep learning method that can in a fast and accurate way detect a microbial species from short fragments of that species. The architecture was based on a novel NLP architecture called the Transformer, adapted to the microbe detection task and used to obtain compressed representations of the sequenced DNA fragments. Once the compressed representation were found, different classification methods were applied to output predictions of microbial species.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA