Gene-gene cosine similarity

AV AJ Venkatakrishnan
AP Arjun Puranik
AA Akash Anand
DZ David Zemmour
XY Xiang Yao
XW Xiaoying Wu
RC Ramakrishna Chilaka
DM Dariusz K Murakowski
KS Kristopher Standish
BR Bharathwaj Raghunathan
TW Tyler Wagner
EG Enrique Garcia-Rivera
HS Hugo Solomon
AG Abhinav Garg
RB Rakesh Barve
AA Anuli Anyanwu-Ofili
NK Najat Khan
VS Venky Soundararajan
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Within the platform, we support the run-time computation of cosine similarity (i.e. 1 - cosine distance) between the queried gene and all other genes. This provides a measure of expression similarity across cells and can be used to identify co-regulated and co-expressed genes. Specifically, to perform this computation, we construct a ‘gene expression vector’ for each gene G. This corresponds to the set of CP10K values for gene G in each individual cell from the selected populations in the selected study.

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