Data and results from Spage2vec: Unsupervised representation of localized spatial gene expression signatures

<p>This repository contains&nbsp;spatial gene expression data for reproducing analysis results&nbsp;of&nbsp;spage2vec manuscript [1].</p> <p>[1]&nbsp;Partel G, W&auml;hlby C. Spage2vec: Unsupervised representation of localized spatial gene expression signatures. The FEBS Journal. 2020.</p> <p>Acknowledgement:</p> <p>We thank Xiaoyan Qian, Simone Codeluppi,&nbsp;Jeffrey Moffitt,&nbsp;Kok Hao Chen,&nbsp;Alistair N. Boettiger and Dhananjay Bambah-Mukku for generating and sharing in situ sequencing [2],&nbsp;osmFISH [3] and MERFISH [4-5] datasets. And&nbsp;Jeongbin Park, Wonyl Choi for uploading&nbsp;osmFISH [3] and MERFISH [4]&nbsp;data to public repository.</p> <p>&nbsp;</p> <p>[2]&nbsp;Qian, Xiaoyan, et al. &quot;Probabilistic cell typing enables fine mapping of closely related cell types in situ.&quot; Nature methods 17.1 (2020): 101-106.</p> <p>[3]&nbsp;Codeluppi, Simone, et al. &quot;Spatial organization of the somatosensory cortex revealed by osmFISH.&quot; Nature methods 15.11 (2018): 932-935.</p> <p>[4]&nbsp;Moffitt, Jeffrey R., et al. &quot;Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region.&quot; Science 362.6416 (2018): eaau5324.</p> <p>[5]&nbsp;Chen, Kok Hao, et al. &quot;Spatially resolved, highly multiplexed RNA profiling in single cells.&quot;&nbsp;<em>Science</em>&nbsp;348.6233 (2015): aaa6090.</p>