Single cell Transcriptomic Analysis of Cellular Heterogeneity in Human Colorectal Tumors

Study

Study ID	Alternative Stable ID	Type
EGAS00001001945		Other

Study Description

1,591 single cells from 11 colorectal cancer patients were profiled using Fluidigm based single cell RNA-seq protocol to characterized cellular heterogeneity of colorectal cancer. 630 single cells from 7 cell lines were profiled similarly to benchmark de novo cell type identification algorithms.

Study Datasets 1 dataset.

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Dataset ID	Description	Technology	Samples
EGAD00001002727	1,591 single cells from 11 colorectal cancer patients were profiled using Fluidigm based single cell RNA-seq protocol to characterized cellular heterogeneity of colorectal cancer. 630 single cells from 7 cell lines were profiled similarly to benchmark de novo cell type identification algorithms. 1,591 single cells from 11 colorectal cancer patients were profiled using Fluidigm based single cell RNA-seq protocol to characterized cellular heterogeneity of colorectal cancer. 630 single cells from 7 cell lines were profiled similarly to benchmark de novo cell type identification algorithms.	Illumina HiSeq 3000	2221

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