Methods for the Analysis of High Throughput Sequencing Data

genomics;statistics;Human Genetics and Molecular Biology

Fletez-Brant, Christopher

Johns Hopkins University

关键词: genomics;    statistics;    Human Genetics and Molecular Biology;   

Others  :  https://jscholarship.library.jhu.edu/bitstream/handle/1774.2/60037/FLETEZ-BRANT-DISSERTATION-2018.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: JOHNS HOPKINS DSpace Repository

【 摘 要 】

In this thesis I describe methods for the quality control or analysis of genomics data. I first develop a method for correcting for unwanted variation across samples in Hi-C data, and compare it to other possible approaches. I then develop a method for clustering features in high dimensional Bayesian inference, and apply it gene expression data and the Bayesian non-negative matrix factorization algorithm CoGAPS.