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BNFO 615 Fall 2016 Usman Roshan NJIT
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Outline Machine learning for bioinformatics – Basic machine learning algorithms – Applications to bioinformatics Assignments and quizzes – Expect about five through the semester – Carry 50% of total grade Project – Student gives proposal with expected outcome – Final evaluation based on expected outcome
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Topics Background and Python Basic machine learning algorithms – Linear classification – Support vector machines – Decision trees and random forests – Neural networks Disease risk prediction Phenotype prediction
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Topics Protein sequence classification Metagenomics – machine learning approaches Protein sequence alignment via machine learning Predicting binding sites in DNA HMMs for gene discovery Deep learning methods in genomics
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