{"id":"https://openalex.org/W2190041567","doi":"https://doi.org/10.1109/isit.2015.7282418","title":"Learning immune-defectives graph through group tests","display_name":"Learning immune-defectives graph through group tests","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2190041567","doi":"https://doi.org/10.1109/isit.2015.7282418","mag":"2190041567"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1983/8cc52e64-f035-45d4-84a4-7c334fed6247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103222238","display_name":"Abhinav Ganesan","orcid":"https://orcid.org/0000-0002-0952-798X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Abhinav Ganesan","raw_affiliation_strings":["Institute of Network Coding, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Institute of Network Coding, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108615688","display_name":"Sidharth Jaggi","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sidharth Jaggi","raw_affiliation_strings":["Institute of Network Coding, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Institute of Network Coding, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048704387","display_name":"Venkatesh Saligrama","orcid":"https://orcid.org/0000-0002-0675-2268"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkatesh Saligrama","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Boston University"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Boston University","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103222238"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.5824,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68716184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11725","display_name":"Immunodeficiency and Autoimmune Disorders","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9470999836921692,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5652898550033569},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4789729118347168},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32267123460769653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5652898550033569},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4789729118347168},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32267123460769653}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isit.2015.7282418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/8cc52e64-f035-45d4-84a4-7c334fed6247","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/8cc52e64-f035-45d4-84a4-7c334fed6247","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ganesan, A, Jaggi, S & Saligrama, V 2015, Learning immune-defectives graph through group tests. in Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015., 7282418, IEEE International Symposium on Information Theory - Proceedings, vol. 2015-June, Institute of Electrical and Electronics Engineers (IEEE), pp. 66-70. https://doi.org/10.1109/ISIT.2015.7282418","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/8cc52e64-f035-45d4-84a4-7c334fed6247","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/8cc52e64-f035-45d4-84a4-7c334fed6247","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ganesan, A, Jaggi, S & Saligrama, V 2015, Learning immune-defectives graph through group tests. in Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015., 7282418, IEEE International Symposium on Information Theory - Proceedings, vol. 2015-June, Institute of Electrical and Electronics Engineers (IEEE), pp. 66-70. https://doi.org/10.1109/ISIT.2015.7282418","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:research-information.bris.ac.uk:openaire/8cc52e64-f035-45d4-84a4-7c334fed6247","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/8cc52e64-f035-45d4-84a4-7c334fed6247","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ganesan, A, Jaggi, S & Saligrama, V 2015, Learning immune-defectives graph through group tests. in Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015., 7282418, IEEE International Symposium on Information Theory - Proceedings, vol. 2015-June, Institute of Electrical and Electronics Engineers (IEEE), pp. 66-70. https://doi.org/10.1109/ISIT.2015.7282418","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.800000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1570279301","https://openalex.org/W1607861319","https://openalex.org/W1678954343","https://openalex.org/W1968876473","https://openalex.org/W1975680434","https://openalex.org/W1981683436","https://openalex.org/W1991149043","https://openalex.org/W2011541491","https://openalex.org/W2031332595","https://openalex.org/W2042090350","https://openalex.org/W2053311263","https://openalex.org/W2053493713","https://openalex.org/W2067513969","https://openalex.org/W2067940795","https://openalex.org/W2089214036","https://openalex.org/W2094584960","https://openalex.org/W2103012681","https://openalex.org/W2115747398","https://openalex.org/W2121156579","https://openalex.org/W2124036594","https://openalex.org/W2173497155","https://openalex.org/W2190041567","https://openalex.org/W2963527285","https://openalex.org/W4233413206","https://openalex.org/W6677688733"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"This":[0],"paper":[1,88],"abstracts":[2],"the":[3,23,30,34,39,44,56,61,65,92,106,129,135,141,153,159,167,171],"unified":[4],"problem":[5,16],"of":[6,19,46,55,86,134,137],"drug":[7],"discovery":[8],"and":[9,17,25,36,95,124],"pathogen":[10],"identification":[11],"as":[12,38,63],"an":[13],"inhibitor-defective":[14],"classification":[15],"learning":[18,128],"\u201cassociation":[20,31],"pattern\u201d":[21],"between":[22,33],"inhibitors":[24,35,57,62],"defectives.":[26],"We":[27,111],"refer":[28],"to":[29,90,149,152,166],"graph\u201d":[32],"defectives":[37],"Immune-Defectives":[40],"Graph":[41],"(IDG).":[42],"Here,":[43],"expression":[45],"a":[47,53,72,113,118],"defective":[48,73],"might":[49],"be":[50,150],"inhibited":[51],"by":[52],"subset":[54],"rather":[58],"than":[59],"all":[60],"in":[64,102,170],"well-known":[66],"1-inhibitor":[67],"model.":[68],"A":[69],"test":[70],"containing":[71],"is":[74,89,147,164],"positive":[75],"iff":[76],"it":[77],"does":[78],"not":[79],"contain":[80],"its":[81],"associated":[82],"inhibitor.":[83],"The":[84,131],"goal":[85],"this":[87],"identify":[91],"defectives,":[93],"inhibitors,":[94],"their":[96],"\u201cassociations\u201d":[97],"with":[98],"high":[99],"probability,":[100],"or":[101],"other":[103],"words,":[104],"learn":[105],"IDG":[107],"using":[108],"group":[109],"tests.":[110],"propose":[112],"probabilistic":[114,119],"non-adaptive":[115,161],"pooling":[116,122,145,162],"design,":[117],"two-stage":[120,143],"adaptive":[121,144],"design":[123,146,163],"decoding":[125],"algorithms":[126],"for":[127,140,158],"IDG.":[130],"sample":[132],"complexity":[133],"number":[136],"tests":[138],"required":[139],"proposed":[142,160],"shown":[148],"close":[151,165],"lower":[154,168],"bound,":[155],"while":[156],"that":[157],"bound":[169],"large":[172],"inhibitor":[173],"regime.":[174]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}