Final

1. Final • Describe how living things cope with the second law of thermodynamics • A test statistic is • A function W(X) of the random sample X • A statement about a parameter of a population • A specific kind of statistical procedure • None of the above

2. Final • Describe the goals and methods of Genomic Signal Processing • A DNA probe is • short single-stranded DNA sequence • Small RNA molecule • A specific transcription factor • None of the above

3. Final • Describe the work-flow of microarray experimentation • Which variation in data has to be reduced • From the chip platform • From the imaging procedures • From the methods of hybridization • All of the above

4. Final • Describe the common underlying assumptions of ANOVA • A classifier is: • A function from the feature space to the space of all possible labels • A person who classifies • A random process • None of the above

5. Final • Discuss the problems with the small sample sizes related to error estimation • The goal of LDA is • To find the linear combination of features which best separate the classes • To separate two or more classes using quadratic polynomial surfaces. • To fit a regression line between the classes • None of the above

6. Final Discuss the clustering model and the problems associated with it Describe the general process of inferring models for genomic regulatory networks Discuss the advantages and disadvantages of using the Boolean formalism in gene regulatory network modeling.

7. Final Give the definition of Boolean and Probabilistic Boolean network models Discuss the biological interpretation of the state transition diagram of a PBN Define CoD and discuss its role in inferring PBN models of genomic regulation.