{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T08:01:44Z","timestamp":1790755304299,"version":"4.1.0"},"publisher-location":"New York, NY","reference-count":11,"publisher":"Springer US","isbn-type":[{"value":"9781071656068","type":"print"},{"value":"9781071656075","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-1-0716-5607-5_20","type":"book-chapter","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T07:46:29Z","timestamp":1790754389000},"page":"437-460","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Build Heatmaps of Cell Frequencies and Marker Intensities for Correct Interpretations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3230-8363","authenticated-orcid":false,"given":"Eug\u00e9nie","family":"Lohmann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7526-261X","authenticated-orcid":false,"given":"Laurent","family":"Gorvel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-1535","authenticated-orcid":false,"given":"Samuel","family":"Granjeaud","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,1]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"14863","DOI":"10.1073\/pnas.95.25.14863","volume":"95","author":"MB Eisen","year":"1998","unstructured":"Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A 95:14863\u201314868. https:\/\/doi.org\/10.1073\/pnas.95.25.14863","journal-title":"Proc Natl Acad Sci U S A"},{"key":"20_CR2","doi-asserted-by":"publisher","first-page":"374","DOI":"10.2144\/03342mt01","volume":"34","author":"AI Saeed","year":"2003","unstructured":"Saeed AI, Sharov V, White J et al. (2003) TM4: a free, open-source system for microarray data management and analysis. Biotechniques 34:374\u2013378. https:\/\/doi.org\/10.2144\/03342mt01","journal-title":"Biotechniques"},{"key":"20_CR3","doi-asserted-by":"publisher","first-page":"e85722","DOI":"10.7554\/eLife.85722","volume":"13","author":"M Kleverov","year":"2024","unstructured":"Kleverov M, Zenkova D, Kamenev V et al. (2024) Phantasus, a web application for visual and interactive gene expression analysis. eLife 13:e85722. https:\/\/doi.org\/10.7554\/eLife.85722","journal-title":"eLife"},{"key":"20_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s42003-019-0415-5","volume":"2","author":"LM Weber","year":"2019","unstructured":"Weber LM, Nowicka M, Soneson C, Robinson MD (2019) diffcyt: differential discovery in high-dimensional cytometry via high-resolution clustering. Commun Biol 2:1\u201311. https:\/\/doi.org\/10.1038\/s42003-019-0415-5","journal-title":"Commun Biol"},{"key":"20_CR5","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","volume":"26","author":"MD Robinson","year":"2010","unstructured":"Robinson MD, McCarthy DJ, Smyth GK (2010) edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26:139\u2013140. https:\/\/doi.org\/10.1093\/bioinformatics\/btp616","journal-title":"Bioinformatics"},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"gkaf018","DOI":"10.1093\/nar\/gkaf018","volume":"53","author":"Y Chen","year":"2025","unstructured":"Chen Y, Chen L, Lun ATL et al. (2025) edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets. Nucleic Acids Res 53:gkaf018. https:\/\/doi.org\/10.1093\/nar\/gkaf018","journal-title":"Nucleic Acids Res"},{"key":"20_CR7","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-014-0550-8","volume":"15","author":"MI Love","year":"2014","unstructured":"Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15: 550. https:\/\/doi.org\/10.1186\/s13059-014-0550-8","journal-title":"Genome Biol"},{"key":"20_CR8","doi-asserted-by":"publisher","first-page":"10.21.1","DOI":"10.1002\/cpcy.34","volume":"83","author":"KE Diggins","year":"2018","unstructured":"Diggins KE, Gandelman JS, Roe CE, Irish JM (2018) Generating quantitative cell identity labels with marker enrichment modeling (MEM). Curr Protoc Cytom 83:10.21.1\u201310.21.28. https:\/\/doi.org\/10.1002\/cpcy.34","journal-title":"Curr Protoc Cytom"},{"key":"20_CR9","unstructured":"Kolde R (2019) pheatmap: pretty heatmaps. https:\/\/cran.r-project.org\/package=pheatmap"},{"key":"20_CR10","doi-asserted-by":"publisher","first-page":"e7862","DOI":"10.15252\/msb.20177862","volume":"14","author":"D Michlmayr","year":"2018","unstructured":"Michlmayr D, Pak TR, Rahman AH et al. (2018) Comprehensive innate immune profiling of chikungunya virus infection in pediatric cases. Mol Syst Biol 14:e7862. https:\/\/doi.org\/10.15252\/msb.20177862","journal-title":"Mol Syst Biol"},{"key":"20_CR11","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1038\/s41590-021-01006-z","volume":"22","author":"T Liechti","year":"2021","unstructured":"Liechti T, Weber LM, Ashhurst TM et al. (2021) An updated guide for the perplexed: cytometry in the high-dimensional era. Nat Immunol 22:1190\u20131197. https:\/\/doi.org\/10.1038\/s41590-021-01006-z","journal-title":"Nat Immunol"}],"container-title":["Methods in Molecular Biology","Immunophenotyping"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-0716-5607-5_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T07:46:30Z","timestamp":1790754390000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-0716-5607-5_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,1]]},"ISBN":["9781071656068","9781071656075"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-1-0716-5607-5_20","relation":{},"ISSN":["1064-3745","1940-6029"],"issn-type":[{"value":"1064-3745","type":"print"},{"value":"1940-6029","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,1]]},"assertion":[{"value":"1 October 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}