Protein Classification Benchmark Collection
Names
More detailed information about this field from each metasource.
Protein Classification Benchmark Collection
metasource: Fairsharing.org
version: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Benchmark
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
Names
More detailed information about this field from each metasource.
Protein Classification Benchmark Collection
metasource: Fairsharing.orgversion: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Benchmark
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
Names
More detailed information about this field from each metasource.
Protein Classification Benchmark Collection
metasource: Fairsharing.orgversion: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Benchmark
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
This source may no longer be available. No known URL could be resolved successfully.
The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.
Description
More detailed information about this field from each metasource.
The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.
metasource: Fairsharing.orgversion: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
The Protein Classification Benchmark collection (http://hydra.icgeb.trieste.it/benchmark) was created in order to provide standard datasets on which the performance of machine learning methods can be compared. It is primarily meant for methods developers and users interested in comparing methods under standardized conditions. The collection contains datasets of sequences and structures, and each set is subdivided into positive/negative, training/test sets in several ways. There is a total of 6405 classification tasks, 3297 on protein sequences, 3095 on protein structures and 10 on protein coding regions in DNA. Typical tasks include the classification of structural domains in the SCOP and CATH databases based on their sequences or structures, as well as various functional and taxonomic classification problems. In the case of hierarchical classification schemes, the classification tasks can be defined at various levels of the hierarchy (such as classes, folds, superfamilies, etc.). For each dataset there are distance matrices available that contain all vs. all comparison of the data based on various sequence or structure comparison methods, as well as a set of classification performance measures computed with various classifier algorithms.
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
Webpage:
http://net.icgeb.org/benchmark/Webpage
More detailed information about this field from each metasource.
http://net.icgeb.org/benchmark/
metasource: Fairsharing.orgversion: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
Tags:
Tags
More detailed information about this field from each metasource.
classification
metasource: Fairsharing.org
version: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
protein
metasource: Fairsharing.org
version: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
protein sequence databases
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
protein domain databases; protein classification
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
Tags
More detailed information about this field from each metasource.
classification
metasource: Fairsharing.orgversion: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
protein
metasource: Fairsharing.orgversion: FAIRsharing.org: Protein Classification Benchmark Collection; Protein Classification Benchmark Collection; DOI: https://doi.org/10.25504/FAIRsharing.88b6b5; Last edited: April 26, 2021, 9:32 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
protein sequence databases
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
protein domain databases; protein classification
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
classification protein protein sequence protein domains and classification
Need help integrating and/or managing biomedical data?