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• W3119877461 abstract "Abstract We develop an accurate and efficient method to detect marker genes among many subtypes using subtype-enriched expression profiles. We implement a Cosine based One-sample Test (COT) Python software that is easy to use and applicable to multi-omics data. We demonstrate the performance and utility of COT on gene expression and proteomics data acquired from tissue or cell subtypes. Formulated as a one-sample test with Cosine similarity test statistic in scatter space, the detected de novo marker genes will allow biologists to perform a more comprehensive and unbiased molecular characterization, deconvolution and classification of complex tissue or cell subtypes." @default.
• W3119877461 created "2021-01-18" @default.
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• W3119877461 date "2021-01-11" @default.
• W3119877461 modified "2023-09-26" @default.
• W3119877461 title "COT: an efficient Python tool for detecting marker genes among many subtypes" @default.
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• W3119877461 doi "https://doi.org/10.1101/2021.01.10.426146" @default.
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