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scLKME: A Landmark-based Approach for Generating Multi-cellular Sample Embeddings from Single-cell Data

2023-11-15

Abstract excerpt

Single-cell technologies enable high-dimensional profiling of individual cells, therefore offering profound insights into subtle variation between specialized cell-types. However, translating the multitude of nuanced cellular profiles into meaningful per-sample representations is challenging due to heterogeneous cellular composition across individual profiled samples. To compute informative per-sample representati...

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Literature Corpus work: 02a62db3-ddd2-5f91-a2d4-c5235f380d60
DOI: 10.1101/2023.11.13.566846

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