The statistics of RNA splicing in single cells /

Although the amount of single-cell RNA-sequencing (scRNA-seq) data has exponentially increased in recent years, analysis of RNA splicing in these datasets remains virtually nonexistent, largely due to the sparsity and bias of the data. In this thesis, we introduce a new method of analyzing different...

Full description

Bibliographic Details
Main Author: Olivieri, Julia Eve (Author)
Corporate Author: Stanford University Institute for Computational and Mathematical Engineering
Other Authors: Hastie, Trevor (Thesis advisor, degree committee member), Sabatti, Chiara (Thesis advisor, degree committee member), Salzman, Julia (Thesis advisor)
Format: Thesis Book
Language:English
Published: [Stanford, California] : [Stanford University], 2022

Internet

This item is not available through BorrowDirect. Please contact your institution’s interlibrary loan office for further assistance.

Stanford University

Holdings details from Stanford University
Call Number: INTERNET RESOURCE