- Title
- Predicting protein residue-residue contacts using random forests and deep networks
- Creators
- Joseph Luttrell - 118 College Drive, Hattiesburg, MS 39406 USATong Liu - 1365 Memorial Drive, Coral Gables, FL 33124 USAChaoyang Zhang - 118 College Drive, Hattiesburg, MS 39406 USAZheng Wang - 1365 Memorial Drive, Coral Gables, FL 33124 USA
- Publication Details
- BMC bioinformatics, Vol.20(Suppl 2), pp.100-100
- Publisher
- BioMed Central; London
- Academic Unit
- College of A&S; A&S - Computer Science
- Language
- English
- Resource Type
- Journal article
- PMID
- 30871477
- PMCID
- PMC6419322
- Record Identifier
- 991031578632902976
Journal article
Predicting protein residue-residue contacts using random forests and deep networks
BMC bioinformatics, Vol.20(Suppl 2), pp.100-100
2019-03-14
PMCID: PMC6419322
PMID: 30871477
Metrics
5 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 2 Chemistry
- 2.123 Protein Stucture, Folding & Modelling
- 2.123.13 Protein Folding
- Web Of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Mathematical & Computational Biology
- ESI research areas
- Computer Science
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites