cells in lung cancer, which are linked to immune dysfunction and resistance to treatment.
(e.g., .part02, .part03) are in the same directory before extracting.
via the NCBI Sequence Read Archive (SRA) or the specific repository where the paper's raw data is hosted, as "sc19688" likely refers to a specific sample ID within a larger study. sc19688-RDRI2IBLD143628EG.part01.rar
This study introduces a deep learning framework to handle noise and batch effects in single-cell sequencing.
The tool identified specific cell populations, such as cells in lung cancer, which are linked to
The most relevant "deep paper" involving this type of sequencing data and deep learning extraction is:
It has been used to map tumor immune barriers in hepatocellular carcinoma and analyze interactions in renal cell carcinoma. This study introduces a deep learning framework to
While the specific RAR filename is likely a private or proprietary dataset (often found in clinical trial repositories or internal lab servers), it is strongly linked to research involving , a deep learning tool designed for extracting phenotype-associated features from such datasets. Associated Research and Methodology
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