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...
محفوظ في:
| المؤلف الرئيسي: | Anitha, K. (author) |
|---|---|
| مؤلفون آخرون: | Elkalesh, Omar (author), Bostani, Ali (author), Chitra, K. (author), Arivukkodi, R. (author), Elakkiya, E. (author), Kibriyeva, Makhfirat (author) |
| التنسيق: | article |
| منشور في: |
2026
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/11675/14523 https: |
| الوسوم: |
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