RNAseq-based transcriptome and blood routine
Title | RNAseq-based transcriptome and blood routine |
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Description | Both views of platelet transcriptomic and blood routine features positively contribute to the progression diagnosis of thyroid cancer. The integration of these two blood-derived samples achieves a satisfying four-class classification accuracy of 0.8750. The proposed model may be potentially used to monitor the four development stages of thyroid cancers using the blood samples only. |
Organism | Homo sapiens |
Data Type | Expression Profiling by NGS |
Data Accessibility | Open-access |
BioProject | PRJCA014905 |
Release Date | 2023-02-20 |
Submitter | yuling shen (s_yl02@163.com) |
Organization | Renji Hospital, School of Medicine, Shanghai Jiao Tong University |
Submission Date | 2023-02-16 |
The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.
File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
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OMIX003008-01 | RNAseq-based transcriptome and blood routine | 152 | Expression Profiling by NGS | 35.1 MB | xlsx | 0 | Unavailable |