Identification of Antioxidant Proteins With Deep Learning From Sequence Information
Antioxidant proteins have been found closely linked to disease control for its ability to eliminate excess free radicals. Because of its medicinal value, the study of identifying antioxidant proteins is on the upsurge. Many machine-learning classifiers have performed poorly owing to the nonlinear an...
Saved in:
Main Authors: | Lifen Shao (Author), Hui Gao (Author), Zhen Liu (Author), Juan Feng (Author), Lixia Tang (Author), Hao Lin (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2018-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning
by: Tomoyuki Ito, et al.
Published: (2023) -
Virus identification in unknown tropical febrile illness cases using deep sequencing.
by: Nathan L Yozwiak, et al.
Published: (2012) -
Identification of single nucleotide variants using position-specific error estimation in deep sequencing data
by: Dimitrios Kleftogiannis, et al.
Published: (2019) -
Identification and analysis of miRNAs in human breast cancer and teratoma samples using deep sequencing
by: Nygaard Sanne, et al.
Published: (2009) -
Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information
by: Meng-Lu Liu, et al.
Published: (2020)