Cargando…
An analytical study on the identification of N-linked glycosylation sites using machine learning model
N-linked is the most common type of glycosylation which plays a significant role in identifying various diseases such as type I diabetes and cancer and helps in drug development. Most of the proteins cannot perform their biological and psychological functionalities without undergoing such modificati...
Autores principales: | Akmal, Muhammad Aizaz, Hassan, Muhammad Awais, Muhammad, Shoaib, Khurshid, Khaldoon S., Mohamed, Abdullah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575850/ https://www.ncbi.nlm.nih.gov/pubmed/36262138 http://dx.doi.org/10.7717/peerj-cs.1069 |
Ejemplares similares
-
Prediction of N-linked glycosylation sites using position relative features and statistical moments
por: Akmal, Muhammad Aizaz, et al.
Publicado: (2017) -
Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study
por: Liaqat, Muhammad Irzam, et al.
Publicado: (2022) -
Data mining-based recommendation system using social networks—an analytical study
por: Ajmal, Sahar, et al.
Publicado: (2023) -
Machine learning and deep learning approaches in IoT
por: Javed, Abqa, et al.
Publicado: (2023) -
Kinship identification using age transformation and Siamese network
por: Abbas, Arshad, et al.
Publicado: (2022)