Integrating Genome-wide CRISPR Immune Screen with Multi-omic Clinical Data Reveals Distinct Classes of Tumor Intrinsic Immune Regulators
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes raw read counts for a genome-wide CRISPR screen data using MC38/gp100 and Pmel T cells.CTL1, 2, 3 are triplicated control samples.ET03_1,2,3 are triplicated T cell treatment samples at E:T ratio=0.3.ET1_1,2,3 are triplicated T cell treatment samples at E:T ratio=1' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["cancer immunotherapy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset includes raw read counts for a genome-wide CRISPR screen data using MC38/gp100 and Pmel T cells.CTL1, 2, 3 are triplicated control samples.ET03_1,2,3 are triplicated T cell treatment samples at E:T ratio=0.3.ET1_1,2,3 are triplicated T cell treatment samples at E:T ratio=1' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset includes raw read counts for a genome-wide CRISPR screen data using MC38/gp100 and Pmel T cells.CTL1, 2, 3 are triplicated control samples.ET03_1,2,3 are triplicated T cell treatment samples at E:T ratio=0.3.ET1_1,2,3 are triplicated T cell treatment samples at E:T ratio=1
cancer immunotherapy