{"id":"https://openalex.org/W3152335697","doi":"https://doi.org/10.1007/978-3-319-94968-0_32","title":"Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data","display_name":"Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W3152335697","doi":"https://doi.org/10.1007/978-3-319-94968-0_32","mag":"3152335697"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-94968-0_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-94968-0_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5079773178","display_name":"Krzysztof Gogolewski","orcid":"https://orcid.org/0000-0001-5523-5198"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Gogolewski","raw_affiliation_strings":["Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland","institution_ids":["https://openalex.org/I4654613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031905632","display_name":"Maciej Sykulski","orcid":null},"institutions":[{"id":"https://openalex.org/I268303160","display_name":"Medical University of Warsaw","ror":"https://ror.org/04p2y4s44","country_code":"PL","type":"education","lineage":["https://openalex.org/I268303160"]},{"id":"https://openalex.org/I4210118437","display_name":"Instytut Technik Telekomunikacyjnych i Informatycznych (Poland)","ror":"https://ror.org/02r65gs06","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210118437"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Sykulski","raw_affiliation_strings":["Department of Medical Genetics, Warsaw Medical University, Warsaw, Poland","genXone Ltd., Pozna\u0144, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Medical Genetics, Warsaw Medical University, Warsaw, Poland","institution_ids":["https://openalex.org/I268303160"]},{"raw_affiliation_string":"genXone Ltd., Pozna\u0144, Poland","institution_ids":["https://openalex.org/I4210118437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025743060","display_name":"Neo Christopher Chung","orcid":"https://orcid.org/0000-0001-6798-8867"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Neo Christopher Chung","raw_affiliation_strings":["Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland","institution_ids":["https://openalex.org/I4654613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071617273","display_name":"Anna Gambin","orcid":"https://orcid.org/0000-0003-3476-3017"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Anna Gambin","raw_affiliation_strings":["Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland","institution_ids":["https://openalex.org/I4654613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079773178"],"corresponding_institution_ids":["https://openalex.org/I4654613"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26401401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","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/T11289","display_name":"Single-cell and spatial transcriptomics","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/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.8718100190162659},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.75477135181427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423182725906372},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6433568596839905},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6027436256408691},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5864150524139404},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5517268180847168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5388367772102356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43958476185798645},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.43809252977371216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4345761239528656},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4288102686405182},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4156741499900818},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3452003598213196}],"concepts":[{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.8718100190162659},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.75477135181427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423182725906372},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6433568596839905},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6027436256408691},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5864150524139404},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5517268180847168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5388367772102356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43958476185798645},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.43809252977371216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4345761239528656},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4288102686405182},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4156741499900818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3452003598213196},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-94968-0_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-94968-0_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1984378291","https://openalex.org/W2029206837","https://openalex.org/W2033072655","https://openalex.org/W2072478189","https://openalex.org/W2072502005","https://openalex.org/W2098290597","https://openalex.org/W2121637463","https://openalex.org/W2121690903","https://openalex.org/W2121943403","https://openalex.org/W2133811295","https://openalex.org/W2145962650","https://openalex.org/W2286142055","https://openalex.org/W2511896561","https://openalex.org/W2775524084","https://openalex.org/W2951506174","https://openalex.org/W4292494783","https://openalex.org/W4292933682"],"related_works":["https://openalex.org/W3196545307","https://openalex.org/W2890107589","https://openalex.org/W1547434436","https://openalex.org/W2991135868","https://openalex.org/W4388110366","https://openalex.org/W2060132011","https://openalex.org/W2969102725","https://openalex.org/W3209466624","https://openalex.org/W2507476065","https://openalex.org/W2060543695"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}