Levy-Jurgenson, A., Tekpli, X., & Yakhini, Z. (2021). Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging. Bioinformatics, 37(21), 3796-3804. https://doi.org/10.1093/bioinformatics/btab569
ISO-690 (author-date, English)LEVY-JURGENSON, Alona, TEKPLI, Xavier und YAKHINI, Zohar, 2021. Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging. Bioinformatics. 1 November 2021. Vol. 37, no. 21, p. 3796-3804. DOI 10.1093/bioinformatics/btab569.
Modern Language Association 9th editionLevy-Jurgenson, A., X. Tekpli, und Z. Yakhini. „Assessing Heterogeneity in Spatial Data Using the HTA Index With Applications to Spatial Transcriptomics and Imaging.“. Bioinformatics, Bd. 37, Nr. 21, November 2021, S. 3796-04, https://doi.org/10.1093/bioinformatics/btab569.
Mohr Siebeck - Recht (Deutsch - Österreich)Levy-Jurgenson, Alona/Tekpli, Xavier/Yakhini, Zohar: Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging., Bioinformatics 2021, 3796-3804.
Emerald - HarvardLevy-Jurgenson, A., Tekpli, X. und Yakhini, Z. (2021), „Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging.“, Bioinformatics, Vol. 37 No. 21, S. 3796-3804.