{"id":"https://openalex.org/W2287378245","doi":"https://doi.org/10.7490/f1000research.1094015.1","title":"Supervised learning methods to infer metabolic network using sequence and non-sequence kernels","display_name":"Supervised learning methods to infer metabolic network using sequence and non-sequence kernels","publication_year":2013,"publication_date":"2013-08-12","ids":{"openalex":"https://openalex.org/W2287378245","doi":"https://doi.org/10.7490/f1000research.1094015.1","mag":"2287378245"},"language":"en","primary_location":{"id":"mag:2287378245","doi":"https://doi.org/10.7490/f1000research.1094015.1","is_oa":true,"landing_page_url":"https://f1000research.com/posters/1094015","pdf_url":null,"source":{"id":"https://openalex.org/S4210239046","display_name":"F1000Research","issn_l":"2046-1402","issn":["2046-1402"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320357","host_organization_name":"Faculty of 1000","host_organization_lineage":["https://openalex.org/P4310320357","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Faculty of 1000","Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":"F1000Research","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://f1000research.com/posters/1094015","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015322806","display_name":"Abiel Roche-Lima","orcid":"https://orcid.org/0000-0003-2246-6744","observed_orcids":["https://orcid.org/0000-0003-2246-6744"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abiel Roche-Lima","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2246-6744","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002321933","display_name":"Michael Domaratzki","orcid":"https://orcid.org/0000-0001-9129-6676","observed_orcids":["https://orcid.org/0000-0001-9129-6676"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Domaratzki","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9129-6676","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075404212","display_name":"Brian W. Fristensky","orcid":"https://orcid.org/0000-0002-1554-3492","observed_orcids":["https://orcid.org/0000-0002-1554-3492"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Fristensky","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1554-3492","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.1124,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47143106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"4","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.6025000214576721,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.6025000214576721,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.2709999978542328,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.03720000013709068,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/supervised-learning","display_name":"supervised learning","score":0.8769999742507935},{"id":"https://openalex.org/keywords/sequence-kernels","display_name":"sequence kernels","score":0.890999972820282},{"id":"https://openalex.org/keywords/protein-sequences","display_name":"protein sequences","score":0.5230000019073486}],"concepts":[{"id":"https://openalex.org/C2983643791","wikidata":"https://www.wikidata.org/wiki/Q1999993","display_name":"Open peer review","level":3,"score":0.9267985820770264},{"id":"https://openalex.org/C2992936677","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Plant biology","level":2,"score":0.8557127714157104},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7517828941345215},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5850430130958557},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.4613696336746216},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.43822962045669556},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4184703826904297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3516187071800232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3436436951160431},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.3375388979911804},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13918611407279968},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.08742159605026245}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2287378245","doi":"https://doi.org/10.7490/f1000research.1094015.1","is_oa":true,"landing_page_url":"https://f1000research.com/posters/1094015","pdf_url":null,"source":{"id":"https://openalex.org/S4210239046","display_name":"F1000Research","issn_l":"2046-1402","issn":["2046-1402"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320357","host_organization_name":"Faculty of 1000","host_organization_lineage":["https://openalex.org/P4310320357","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Faculty of 1000","Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":"F1000Research","raw_type":null}],"best_oa_location":{"id":"mag:2287378245","doi":"https://doi.org/10.7490/f1000research.1094015.1","is_oa":true,"landing_page_url":"https://f1000research.com/posters/1094015","pdf_url":null,"source":{"id":"https://openalex.org/S4210239046","display_name":"F1000Research","issn_l":"2046-1402","issn":["2046-1402"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320357","host_organization_name":"Faculty of 1000","host_organization_lineage":["https://openalex.org/P4310320357","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Faculty of 1000","Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":"F1000Research","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2276343278","https://openalex.org/W2467669737","https://openalex.org/W3081970206","https://openalex.org/W6992756785","https://openalex.org/W6903891265","https://openalex.org/W7096216200","https://openalex.org/W1986157690","https://openalex.org/W2971286400","https://openalex.org/W7080419060","https://openalex.org/W7093330200"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2016-06-24T00:00:00"}