This dissertation serves as a unifying document for three related articles developed during my dissertation research. The projects involve the development of single-subject transcriptome (i.e. gene expression data) methodology for precision medicine and related applications. Traditional statistical approaches are largely unavailable in this setting due to prohibitive sample size and lack of independent replication. This leads one to rely on informatic devices including knowledgebase integration (e.g., gene set annotations) and external data sources (e.g., estimation of inter-gene correlation). Common statistical themes include multivariate statistics (such as Mahalanobis distance and copulas) and large-scale significance testing. Briefly, t...
Background: Transcriptogram profiling is a method to present and analyze transcription data in a gen...
The transcriptome is the complete set of RNA molecules in biological samples, and they are primarily...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Transcriptome data provides key information about molecular mechanism for phenotypic diversity. Adva...
This document will focus on methods to combine single subject study results to analyze a singlecohor...
Precision medicine provides targeted treatment for an individual patient based on disease mechanisms...
The copious information generated from transcriptomes gives us an opportunity to learn biological pr...
One of the big aims in human genetics is to understand the biological mechanism underlying the genet...
Microarrays allow measurements of the quantity of every mRNA transcript in a subject and of the part...
RNA-seq is the next-generation sequencing technology for gene expression and while many tools have b...
Ph.D. Dissertation ThesisRecently, gene set analysis has become the first choice for gaining insight...
Graduation date: 2016Differential expression (DE) analysis is a key task in gene expression study, b...
Motivation: The power of a microarray experiment derives from the identification of genes differenti...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Background: Transcriptogram profiling is a method to present and analyze transcription data in a gen...
The transcriptome is the complete set of RNA molecules in biological samples, and they are primarily...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Transcriptome data provides key information about molecular mechanism for phenotypic diversity. Adva...
This document will focus on methods to combine single subject study results to analyze a singlecohor...
Precision medicine provides targeted treatment for an individual patient based on disease mechanisms...
The copious information generated from transcriptomes gives us an opportunity to learn biological pr...
One of the big aims in human genetics is to understand the biological mechanism underlying the genet...
Microarrays allow measurements of the quantity of every mRNA transcript in a subject and of the part...
RNA-seq is the next-generation sequencing technology for gene expression and while many tools have b...
Ph.D. Dissertation ThesisRecently, gene set analysis has become the first choice for gaining insight...
Graduation date: 2016Differential expression (DE) analysis is a key task in gene expression study, b...
Motivation: The power of a microarray experiment derives from the identification of genes differenti...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...
Background: Transcriptogram profiling is a method to present and analyze transcription data in a gen...
The transcriptome is the complete set of RNA molecules in biological samples, and they are primarily...
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at...