Article
Optimal Supervised Reduction of High Dimensional Transcription Data.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Bailey Richard, Sarkar Aisharjya, Singh Aaditya, Dobra Alin, Kahveci Tamer
Abstract excerpt
The plight of navigating high-dimensional transcription datasets remains a persistent problem. This problem is further amplified for complex disorders, such as cancer as these disorders are often multigenic traits with multiple subsets of genes collectively affecting the type, stage, and severity of the trait. We are often faced with a trade off between reducing the dimensionality of our datasets and maintaining...
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