Published October 14, 2024 | Version v2

Datasets for COSMOS

Description

COSMOS is a computational tool crafted to overcome the challenges associated with integrating spatially resolved multi-omics data. This software harnesses a graph neural network algorithm to deliver cutting-edge solutions for analyzing biological data that encompasses various omics types within a spatial framework. Key features of COSMOS include domain segmentation, effective visualization, and the creation of spatiotemporal maps. These capabilities empower researchers to gain a deeper understanding of the spatial and temporal dynamics within biological samples, distinguishing COSMOS from other tools that may only support single omics types or lack comprehensive spatial integration. The proven superior performance of COSMOS underscores its value as an essential resource in the realm of spatial omics.

Paper: Cooperative Integration of Spatially Resolved Multi-Omics Data with COSMOS, Zhou Y., X. Xiao, L. Dong, C. Tang, G. Xiao*, and L Xu*, 2024.

Files

MOB_counts.csv

Files (445.6 MB)

Name Size
md5:b1aa654e75150072a54d67414fb65483
214.3 MB Download
md5:e3bd58cc6eaa13993c0ad70fb02c9868
264.5 kB Download
md5:a372ba21746f5ecb8b4c4d1dcb14eb52
221.6 MB Preview Download
md5:a5d6e149d39c3aafebf28f0f8f90eaa3
848.2 kB Preview Download
md5:26e68490dc2cabd1775b533c994427a1
6.7 MB Preview Download
md5:5fd5b0bbf75d5330ce9fd8a4d4384c29
65.2 kB Preview Download
md5:d7f87522af66b75e891897705223d90b
1.8 MB Download

Additional details