{"id":["SWHID:swh:1:dir:06e3053b14fc3ac1da2e3b4340e6a6c5bf371be1"],"title":["ISS (in situ sequencing) Patcher"],"description":["`iss_patcher` is a simple package for approximating features not experimentally captured in low-dimensional data based on related,  high-dimensional data. The shared feature space between the two objects is identified, and log-normalised and z-scored on a per-object basis. The nearest neighbours of the low-dimensional observations in the high-dimensional space are identified, and the counts of the absent features are approximated as the mean of the high-dimensional neighbours.\nWhile the function was initially written for processing ISS and GEX data, it can in principle be used for any sort of low-dimensional data featuring a subset of features from high-dimensional data."],"authors":{"ORCID:0000-0002-2586-9576":{"id":["ORCID:0000-0002-2586-9576"],"family_name":["Polański"],"personal_name":["Krzysztof"],"affiliations":{"ROR:05cy4wa09":{"organization_name":["Wellcome Sanger Institute"]}}},"ORCID:0000-0002-5249-444X":{"id":["ORCID:0000-0002-5249-444X"],"family_name":["Pett"],"personal_name":["J. Patrick"],"affiliations":{"ROR:05cy4wa09":{"organization_name":["Wellcome Sanger Institute"]}}}}}