盡管我們對3D的和交互的動圖有某種偏好对蒲，但是長久以來主流期刊雜志依然以2D的靜態(tài)圖為主。這當(dāng)然與現(xiàn)在的媒體技術(shù)有關(guān)贡翘，雖然多媒體技術(shù)已經(jīng)允許我們這樣做了蹈矮，比如在文章最后附一個shiny鏈接∶空間表達(dá)數(shù)據(jù)泛鸟，像他的字面意思一樣是有空間信息的，那么空間數(shù)據(jù)的可視化3D會是趨勢嗎踊东？3D和2D的主要應(yīng)用場景是什么呢北滥？我們將會在這篇文章中探討。
就空間數(shù)據(jù)分析來講闸翅，發(fā)表文獻(xiàn)依然會以2D 為主再芋，而作為數(shù)據(jù)庫則可能大部分走向3D可視化。這對JS可視化要求自然是有的坚冀，需要從底層來構(gòu)建3D結(jié)構(gòu)鸵隧。
https://www.sciencemag.org/custom-publishing/webinars/mining-transcriptome-using-spatial-transcriptomics-comprehensive-2d-or-3d
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339868/
http://3d-cardiomics.erc.monash.edu/
https://www.picb.ac.cn/hanlab/itranscriptome
http://www.emouseatlas.org/emap/home.html
https://www.sanger.ac.uk/group/bayraktar-group/
http://zhuang.harvard.edu/merfish.html
https://github.com/tractatus/spatial_transcriptomics_heart
Three-dimensional intact-tissue sequencing of single-cell transcriptional states
3D-Cardiomics: A spatial transcriptional atlas of the mammalian heart
Uncovering an Organ’s Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics
eMouseAtlas, EMAGE, and the spatial dimension of the transcriptome
