{"id":"https://openalex.org/W2155271587","doi":"https://doi.org/10.1145/1141277.1141315","title":"MACE","display_name":"MACE","publication_year":2006,"publication_date":"2006-04-23","ids":{"openalex":"https://openalex.org/W2155271587","doi":"https://doi.org/10.1145/1141277.1141315","mag":"2155271587"},"language":"en","primary_location":{"id":"doi:10.1145/1141277.1141315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1141277.1141315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Applied computing","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/A5021257347","display_name":"Robert Bierman","orcid":null},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert Bierman","raw_affiliation_strings":["San Francisco State University, San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"San Francisco State University, San Francisco, CA","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003753706","display_name":"Nidhi Maniyar","orcid":null},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nidhi Maniyar","raw_affiliation_strings":["San Francisco State University, San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"San Francisco State University, San Francisco, CA","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111563705","display_name":"Charles S. Parsons","orcid":null},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Parsons","raw_affiliation_strings":["University of Vermont, Burlington, VT"],"affiliations":[{"raw_affiliation_string":"University of Vermont, Burlington, VT","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073550054","display_name":"Rahul Singh","orcid":"https://orcid.org/0000-0003-3900-4298"},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Singh","raw_affiliation_strings":["San Francisco State University, San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"San Francisco State University, San Francisco, CA","institution_ids":["https://openalex.org/I71838634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021257347"],"corresponding_institution_ids":["https://openalex.org/I71838634"],"apc_list":null,"apc_paid":null,"fwci":0.1325,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52436152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9842000007629395,"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/computer-science","display_name":"Computer science","score":0.7843024730682373},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.763799786567688},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6839082837104797},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.565982460975647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5478512644767761},{"id":"https://openalex.org/keywords/microarray-databases","display_name":"Microarray databases","score":0.5384258031845093},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.49709418416023254},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.4923490285873413},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.411872535943985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3812427520751953},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.28478944301605225},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.23670056462287903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1012457013130188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7843024730682373},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.763799786567688},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6839082837104797},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.565982460975647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5478512644767761},{"id":"https://openalex.org/C548314002","wikidata":"https://www.wikidata.org/wiki/Q6839218","display_name":"Microarray databases","level":5,"score":0.5384258031845093},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.49709418416023254},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.4923490285873413},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.411872535943985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3812427520751953},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.28478944301605225},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.23670056462287903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1012457013130188},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1141277.1141315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1141277.1141315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Applied computing","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":19,"referenced_works":["https://openalex.org/W238668910","https://openalex.org/W1594655861","https://openalex.org/W1970156673","https://openalex.org/W2000978503","https://openalex.org/W2020541351","https://openalex.org/W2076519904","https://openalex.org/W2087684630","https://openalex.org/W2088468751","https://openalex.org/W2099688399","https://openalex.org/W2117190895","https://openalex.org/W2122962290","https://openalex.org/W2130494035","https://openalex.org/W2133059825","https://openalex.org/W2137970956","https://openalex.org/W2140864052","https://openalex.org/W2154242655","https://openalex.org/W2154554404","https://openalex.org/W2167980479","https://openalex.org/W4247420482"],"related_works":["https://openalex.org/W2978432024","https://openalex.org/W2118338613","https://openalex.org/W1995805316","https://openalex.org/W3180760233","https://openalex.org/W2071387875","https://openalex.org/W1568381040","https://openalex.org/W2132019419","https://openalex.org/W4205915047","https://openalex.org/W2148203918","https://openalex.org/W2276828234"],"abstract_inverted_index":{"The":[0,13,95],"ubiquity":[1],"of":[2,16,24,43,55,87,180,190,206],"microarray":[3,47,56,133,167,181,207],"expression":[4,147],"data":[5,27,45,134,168],"in":[6,39,50,202],"state-of-the-art":[7],"biology":[8],"has":[9],"been":[10],"well":[11],"established.":[12],"widespread":[14],"adoption":[15],"this":[17,61,64],"technology":[18],"coupled":[19],"with":[20],"the":[21,51,122,138,143,171,188,199],"significant":[22,37],"volume":[23],"image-based":[25],"experimental":[26],"generated":[28],"per":[29],"experiment":[30],"(averaging":[31],"40":[32],"MB),":[33],"have":[34,91,126,152],"led":[35],"to":[36,59,165,196],"challenges":[38,201],"storage":[40,203],"and":[41,105,114,117,145,162,169,193,204],"query-retrieval":[42],"primary":[44],"from":[46],"experiments.":[48],"Research":[49],"yet":[52],"nascent":[53],"area":[54],"data-compression":[57],"seeks":[58],"address":[60,198],"problem.":[62],"In":[63],"paper,":[65],"we":[66,125],"propose":[67],"a":[68,128,155,177],"conceptually":[69],"novel":[70],"approach":[71,192],"that":[72,89,135],"achieves":[73],"significantly":[74,149,197],"better":[75],"lossless":[76],"compression.":[77],"Unlike":[78],"lossy":[79],"compression,":[80],"our":[81,191],"algorithm":[82],"is":[83],"guaranteed":[84],"against":[85],"loss":[86],"information":[88],"may":[90],"potential":[92,195],"biological":[93],"relevance.":[94],"proposed":[96,123],"method":[97],"supports":[98],"key":[99],"operations":[100],"such":[101],"as":[102],"automated":[103],"grid":[104],"spot":[106,112,185],"finding,":[107],"histogram-based":[108],"automatic":[109],"thresholding":[110],"for":[111,131],"segmentation,":[113],"subsequent":[115],"foreground":[116],"background":[118],"separation.":[119],"Based":[120],"on":[121,176],"approach,":[124],"developed":[127,154],"standardized":[129],"format":[130],"storing":[132],"encapsulates":[136],"all":[137],"relevant":[139],"information,":[140],"including":[141],"both":[142],"Cy3":[144],"Cy5":[146],"images":[148],"compressed.":[150],"We":[151],"also":[153],"software":[156],"application":[157],"called":[158],"MACE":[159],"(Microarray":[160],"Compression":[161],"Extraction":[163],"application)":[164],"compress-decompress":[166],"generate":[170],"aforementioned":[172,200],"format.":[173],"Compression-decompression":[174],"results":[175],"wide":[178],"class":[179],"experiments":[182],"involving":[183],"different":[184],"layouts":[186],"validate":[187],"effectiveness":[189],"its":[194],"management":[205],"data.":[208]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
