{"id":"https://openalex.org/W2220860553","doi":"https://doi.org/10.1109/bibe.2015.7367734","title":"A robust data scaling algorithm for gene expression classification","display_name":"A robust data scaling algorithm for gene expression classification","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2220860553","doi":"https://doi.org/10.1109/bibe.2015.7367734","mag":"2220860553"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2015.7367734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2015.7367734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","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/A5103056122","display_name":"Xi Hang Cao","orcid":"https://orcid.org/0000-0002-2610-9712"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xi Hang Cao","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, U.S.A","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoran Obradovic","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, U.S.A","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103056122"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.5835,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68967854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9988999962806702,"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":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9921000003814697,"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/T10057","display_name":"Face and Expression Recognition","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/outlier","display_name":"Outlier","score":0.7177883386611938},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6514037847518921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6120873093605042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5916656255722046},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4741498827934265},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.44680655002593994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42309439182281494},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4123108386993408},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40131908655166626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39399123191833496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23877859115600586}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7177883386611938},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6514037847518921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6120873093605042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5916656255722046},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4741498827934265},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.44680655002593994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42309439182281494},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4123108386993408},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40131908655166626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39399123191833496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23877859115600586},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2015.7367734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2015.7367734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","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":14,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1727290854","https://openalex.org/W2039215669","https://openalex.org/W2065372064","https://openalex.org/W2086625681","https://openalex.org/W2087025987","https://openalex.org/W2125484079","https://openalex.org/W2128985829","https://openalex.org/W2137476312","https://openalex.org/W2140190241","https://openalex.org/W2144738674","https://openalex.org/W2158012006","https://openalex.org/W4251385712","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W141820298","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2557500211"],"abstract_inverted_index":{"Gene":[0],"expression":[1],"data":[2,29,35,72,94],"are":[3,88],"widely":[4],"used":[5,93],"in":[6],"classification":[7,21],"tasks":[8],"for":[9,18],"medical":[10],"diagnosis.":[11],"Data":[12],"scaling":[13,30,95],"is":[14,60],"recommended":[15],"and":[16,64,85],"helpful":[17],"learning":[19,42],"the":[20,34,49,55,75,80,90],"models.":[22],"In":[23],"this":[24],"study,":[25],"we":[26],"propose":[27],"a":[28,43],"algorithm":[31,59,77],"to":[32,37,47,62],"transform":[33],"uniformly":[36],"an":[38],"appropriate":[39],"interval":[40],"by":[41,74],"generalized":[44],"logistic":[45],"function":[46,53],"fit":[48],"empirical":[50],"cumulative":[51],"density":[52],"of":[54],"data.":[56],"The":[57],"proposed":[58,76],"robust":[61],"outliers,":[63],"experimental":[65],"results":[66],"show":[67],"that":[68],"models":[69],"learned":[70],"using":[71,82],"scaled":[73],"generally":[78],"outperform":[79],"ones":[81],"min-max":[83],"mapping":[84],"z-score":[86],"which":[87],"currently":[89],"most":[91],"commonly":[92],"algorithms.":[96]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}