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Begin by reviewing the Introduction section, which outlines the purpose of the project and its relevance in analyzing DNA microarray data.
Proceed to the Project Overview section. Here, you will find objectives that guide your understanding of supervised machine learning and SVMs. Make notes on key concepts as you go.
In the Support Vector Machines section, familiarize yourself with SVM fundamentals. Use our platform's annotation tools to highlight important definitions and examples.
As you navigate through each phase of the project, utilize text boxes to jot down your thoughts or questions regarding each experiment outlined in Phases 1 through 4.
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Copyright 1995, Trinity College Computing Center. Written by David Chappell. Permission to use, copy, modify, and distribute this software and its documentation
Using a Support Vector Machine to Analyze a DNA Microarray
by R Morelli 2008 Cited by 5 Although this project will focus on SVMs and machine learning techniques, we will cover basic concepts in biology and genetics that underlie DNA
Gene Selection for Cancer Classification using Support Vector
Abstract. DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or
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