Cargando…
TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a significant role in essential cellular processes including immunity regulation, hematopoiesis, and inflammation. As one important family of cytokines, tumor necrosis factors have association with the regul...
Autores principales: | Nguyen, Trinh-Trung-Duong, Le, Nguyen-Quoc-Khanh, Ho, Quang-Thai, Phan, Dinh-Van, Ou, Yu-Yen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579990/ https://www.ncbi.nlm.nih.gov/pubmed/33087125 http://dx.doi.org/10.1186/s12920-020-00779-w |
Ejemplares similares
-
Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction
por: Liu, Chuan-Ming, et al.
Publicado: (2022) -
Identifying SNARE
Proteins Using an Alignment-Free
Method Based on Multiscan Convolutional Neural Network and PSSM Profiles
por: Kha, Quang-Hien, et al.
Publicado: (2022) -
iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features
por: Nguyen-Vo, Thanh-Hoang, et al.
Publicado: (2022) -
Identifying SNAREs by Incorporating Deep Learning Architecture and Amino Acid Embedding Representation
por: Le, Nguyen Quoc Khanh, et al.
Publicado: (2019) -
Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features
por: Dang, Luong Huu, et al.
Publicado: (2021)