Sorting Five Human Tumor Types Reveals Specific Biomarkers and Background Classification Genes
Abstract We applied two state-of-the-art, knowledge independent data-mining methods – Dynamic Quantum Clustering (DQC) and t-Distributed Stochastic Neighbor Embedding (t-SNE) – to data from The Cancer Genome Atlas (TCGA). We showed that the RNA expression patterns for a mixture of 2,016 samples from...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-018-26310-x |