{"id":"https://openalex.org/W1494915722","doi":"https://doi.org/10.1109/icsmc.2005.1571581","title":"A Scale-Space Filter Approach To Clustering Dose-Response Curves of Novel Drug Compounds","display_name":"A Scale-Space Filter Approach To Clustering Dose-Response Curves of Novel Drug Compounds","publication_year":2006,"publication_date":"2006-01-18","ids":{"openalex":"https://openalex.org/W1494915722","doi":"https://doi.org/10.1109/icsmc.2005.1571581","mag":"1494915722"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2005.1571581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037558313","display_name":"Sarang S. Dalal","orcid":"https://orcid.org/0000-0002-1699-7218"},"institutions":[{"id":"https://openalex.org/I1320553840","display_name":"Amgen (United States)","ror":"https://ror.org/03g03ge92","country_code":"US","type":"company","lineage":["https://openalex.org/I1320553840"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.S. Dalal","raw_affiliation_strings":["Syst. Informatics Group, Amgen, Inc., Thousand Oaks, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Syst. Informatics Group, Amgen, Inc., Thousand Oaks, CA, USA","institution_ids":["https://openalex.org/I1320553840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024215548","display_name":"David Balaban","orcid":null},"institutions":[{"id":"https://openalex.org/I1320553840","display_name":"Amgen (United States)","ror":"https://ror.org/03g03ge92","country_code":"US","type":"company","lineage":["https://openalex.org/I1320553840"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.J. Balaban","raw_affiliation_strings":["Research Informatics Department Amgen Inc. Thousand, Oaks, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Informatics Department Amgen Inc. Thousand, Oaks, CA, U.S.A","institution_ids":["https://openalex.org/I1320553840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1320553840"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2844","last_page":"2849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6585946083068848},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6502375602722168},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6031014323234558},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5782732963562012},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5421434640884399},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.514602780342102},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5053863525390625},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4753915071487427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46835675835609436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4459786117076874},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4391750693321228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37210381031036377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3500804305076599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11651575565338135},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11036920547485352},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10568588972091675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585946083068848},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6502375602722168},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6031014323234558},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5782732963562012},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5421434640884399},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.514602780342102},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5053863525390625},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4753915071487427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46835675835609436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4459786117076874},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4391750693321228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37210381031036377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3500804305076599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11651575565338135},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11036920547485352},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10568588972091675},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2005.1571581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1513119389","https://openalex.org/W2002312729","https://openalex.org/W2015003415","https://openalex.org/W2096991223","https://openalex.org/W2109863423","https://openalex.org/W2117612778","https://openalex.org/W2134177453","https://openalex.org/W2158184062","https://openalex.org/W2240696038","https://openalex.org/W6676598158"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W2545348020","https://openalex.org/W2381943364","https://openalex.org/W45848551","https://openalex.org/W2293983667","https://openalex.org/W1584666655"],"abstract_inverted_index":{"Automated":[0],"dose-response":[1,40,51],"curve":[2],"classification":[3],"methods":[4],"need":[5],"to":[6,9,59,108],"be":[7,109],"developed":[8],"keep":[10],"up":[11],"with":[12],"the":[13,66],"vast":[14],"amount":[15],"of":[16,36,39,50,70,95,116],"data":[17,52],"emanating":[18],"from":[19],"high":[20],"throughput":[21],"screening":[22,79],"assays.":[23],"We":[24],"have":[25],"devised":[26],"a":[27,77,113],"methodology":[28],"based":[29],"on":[30],"scale-space":[31],"filtering":[32],"that":[33,63,73,90],"allows":[34],"tracking":[35],"salient":[37],"features":[38],"curves":[41],"at":[42,53],"different":[43,67],"scales.":[44],"A":[45],"complete":[46],"and":[47,86,104],"unbiased":[48],"representation":[49],"various":[54],"scale":[55],"levels":[56],"enables":[57],"us":[58],"subsequently":[60],"employ":[61],"metrics":[62],"robustly":[64],"classify":[65],"functional":[68],"categories":[69],"drug":[71],"compounds":[72],"may":[74],"exist":[75],"in":[76,89,112],"novel":[78],"assay.":[80],"This":[81],"powerful":[82],"tool":[83],"is":[84,100,105],"intuitive":[85],"yet":[87],"rigorous":[88],"it":[91],"distinguishes":[92],"\"important\"":[93],"characteristics":[94],"\"different\"":[96],"curves.":[97],"The":[98],"method":[99],"non-heuristic,":[101],"eliminates":[102],"subjectivity,":[103],"general":[106],"enough":[107],"readily":[110],"employed":[111],"wide":[114],"variety":[115],"applications.":[117]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
