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Speaker: Kathy Zhao
Title: Tips for working in labs as a statistician
Abstract: Co-op is an excellent opportunity to gain valuable working experience. From the 8-month co-op training, I improved on skills of bash scripting, paper reading, and data visualization. In this presentation, I will introduce the working architecture in Dr. Daley's lab and some hospital/lab protocols to those who are interested in labs/hospitals. Also, a short description of my co-op projects will be presented as well, including a comparison between bisulfite sequencing aligners, and data visualization for the Gera project. This presentation will focus on more of the thinking logic at work, rather than statistical methods.
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Speaker: Yidie Feng
Title: Clustering large-scale single cell RNAseq data
Abstract: Accurate clustering of single cell RNAseq data has been a challenge due to noise and technical complications. Dr. Prabhakar's research team has published an algorithm called Reference Component Analysis (RCA), which managed to cluster single cell RNAseq data accurately. However, as the scale of single cell RNAseq data increases, there is a need to upgrade RCA algorithm and make it scalable to large datasets but still accurate at the same time, which is what I worked on during my Co-op. This presentation will give an overview of RCA algorithm and my Co-op experience.