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Statistics for Bioinformatics I
What you'll learn
Basics of Statistics
Analysis by SPSS
Build a predict model of data
Understand some of the common stochastic models encountered in Bioinformatics
This course can be use in Biostatistics, Applied Machine Learning, Computational Drug Designing
This course will be helpful in microarray for linear models, gene expression analysis, clustering, PCA plotting and quality control etc
Bioinformatics is concerned with the study of the inherent structure of biological information, and statistical methods are the workhorses in many of these studies. Statistical Bioinformatics acknowledges the inherent variation found in data that are generated as part of the bioinformatics investigation and attempts to utilize experimental structure and design to partition variation in biological and technical components.
This course introduces the statistical methods commonly used in bioinformatics and biological research. Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment. Students will learn the principles behind statistical methods and how they can be app...