Review for Mid-Term PDF

REVIEW FOR MID-TERM  MATRICES Dimensions of a matrices matter when you are multiplying them Used to: Represent systems of equations Represent networks  GENOMICS Parts of a gene Exons and Introns Untranslated regions...

REVIEW FOR MID-TERM  MATRICES Dimensions of a matrices matter when you are multiplying them Used to: Represent systems of equations Represent networks  GENOMICS Parts of a gene Exons and Introns Untranslated regions (UTRs) Regulatory elements Promoters Determined via next-generation sequencing or snp-arrays What can we do with the information? How can we store that information?  TRANSCRIPTOMICS What is the difference between PCR and qPCR? What are some of the similarities and differences between qPCR, micro-arrays, and RNAseq experiments?  PROBABILITY What is sample space? What are some types of probability distributions and what are they used for? What is a statistic that quantifies the strength of the association between two events? Why do we want to have multiple testing correction?  PROBABILITY Independence 𝑃 𝐸𝐹 = 𝑃 𝐸 𝑃 𝐹 Conditional Probabilities – “probability of E given F” 𝑃(𝐹|𝐸)𝑃(𝐸) 𝑃(𝐸|𝐹) = 𝑃(𝐹)  NETWORKS B Multilayer – Different networks that connected by edges between the A D E subnetworks Multiplex – Nodes are the same, but the edges are different in the subnetworks C B A D E C  NETWORKS What is the difference between a directed and undirected graph? What does a node’s degree tell you? What is a path of network? How can you use networks to explain biological concepts?  MACHINE LEARNING Classification vs Prediction? What are the three different times in which you can select features? What is a decision tree and how does it work? What is the difference between supervised and unsupervised learning?  MID-TERM LAYOUT Part 1 – Knowledge base 50 points In-class Part 2 – Critical Review of a paper 50 points Take home (Due Oct 17