High-Dimensional Cancer Genomic Data Modeling Using Distributed Machine Learning Algorithms for Genetic and Transcriptomic Pattern Discovery
There has been a surge in the development of large-scale cancer genomic and transcriptomic datasets as a result of the rapid development of high-throughput sequencing technologies, posing serious analytic problems, as this data is high-dimensional, has a lot of noise, and multiple nonlinear interact...
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| Other Authors: | , , , , , |
| Format: | article |
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2026
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| Online Access: | http://hdl.handle.net/11675/14523 https: |
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