{"id":"https://openalex.org/W2298856172","doi":"https://doi.org/10.1145/2888451.2888469","title":"Learning transition models of biological regulatory and signaling networks from noisy data","display_name":"Learning transition models of biological regulatory and signaling networks from noisy data","publication_year":2016,"publication_date":"2016-03-13","ids":{"openalex":"https://openalex.org/W2298856172","doi":"https://doi.org/10.1145/2888451.2888469","mag":"2298856172"},"language":"en","primary_location":{"id":"doi:10.1145/2888451.2888469","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2888451.2888469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd IKDD Conference on Data Science, 2016","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057932358","display_name":"Deepika Vatsa","orcid":"https://orcid.org/0000-0002-2032-8076"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepika Vatsa","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001668151","display_name":"Sumeet Agarwal","orcid":"https://orcid.org/0000-0002-5714-3921"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumeet Agarwal","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103083219","display_name":"Ashwin Srinivasan","orcid":"https://orcid.org/0000-0002-4911-0038"},"institutions":[{"id":"https://openalex.org/I4210148827","display_name":"Birla Institute of Technology and Science, Pilani - Goa Campus","ror":"https://ror.org/046sh6j17","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210148827","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashwin Srinivasan","raw_affiliation_strings":["Birla Institute of Technology and Science, Goa Campus"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science, Goa Campus","institution_ids":["https://openalex.org/I4210148827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057932358"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00738148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9990000128746033,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9990000128746033,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9657999873161316,"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"}},{"id":"https://openalex.org/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9577999711036682,"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/noise","display_name":"Noise (video)","score":0.7494043111801147},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.706826388835907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6772322654724121},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6256453990936279},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5159500241279602},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.4860146641731262},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46427175402641296},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.4543038308620453},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.42596080899238586},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4185871481895447},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.4149565100669861},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4145696759223938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39064905047416687},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.38987067341804504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3861226439476013},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.363766074180603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3616621494293213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15669918060302734},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.11516597867012024},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.08557203412055969}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7494043111801147},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.706826388835907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772322654724121},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6256453990936279},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5159500241279602},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.4860146641731262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46427175402641296},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.4543038308620453},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.42596080899238586},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4185871481895447},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.4149565100669861},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4145696759223938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39064905047416687},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.38987067341804504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3861226439476013},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.363766074180603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3616621494293213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15669918060302734},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.11516597867012024},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.08557203412055969},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2888451.2888469","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2888451.2888469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd IKDD Conference on Data Science, 2016","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W55194309","https://openalex.org/W55914417","https://openalex.org/W1505489763","https://openalex.org/W1574084679","https://openalex.org/W1987526935","https://openalex.org/W1989457548","https://openalex.org/W2026482829","https://openalex.org/W2053455009","https://openalex.org/W2078867842","https://openalex.org/W2161922735","https://openalex.org/W2491406100","https://openalex.org/W2608239929","https://openalex.org/W2917845506","https://openalex.org/W4300591351","https://openalex.org/W6602299119"],"related_works":["https://openalex.org/W2155492529","https://openalex.org/W4252504573","https://openalex.org/W4385510321","https://openalex.org/W15348386","https://openalex.org/W2314128295","https://openalex.org/W1509942269","https://openalex.org/W4287026692","https://openalex.org/W2077895977","https://openalex.org/W2609388058","https://openalex.org/W2132274001"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"an":[5],"extended":[6],"2-step":[7],"probabilistic":[8],"LGTS":[9],"(PLGTS)":[10],"transition":[11,43],"system":[12,36,66,81],"which":[13],"aims":[14],"to":[15,92],"identify":[16,93],"the":[17,46,55,61,80,87,94],"network":[18,97],"structure":[19,98],"and":[20],"stochastic":[21],"nature":[22],"of":[23],"biological":[24],"processes":[25],"using":[26,42],"time":[27],"series":[28],"data.":[29,57],"This":[30],"work":[31],"is":[32],"a":[33,39,100],"step":[34],"towards":[35],"identification":[37],"in":[38,50,54,60,64,78],"noisy":[40],"environment":[41],"systems.":[44],"Here,":[45],"noise":[47,49,59,75],"implies":[48],"transitions":[51],"between":[52],"states":[53],"observed":[56],"Interestingly,":[58],"data":[62,72,102],"helps":[63,77],"assisting":[65],"identification.":[67],"Experimental":[68],"results":[69],"on":[70],"synthetic":[71],"show":[73],"that":[74],"actually":[76],"understanding":[79],"dynamics":[82],"as":[83,85],"well":[84],"constraining":[86],"solution":[88],"space;":[89],"thus":[90],"helping":[91],"most":[95],"probable":[96],"for":[99],"given":[101],"set.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}