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Items (1-7) out of 7 results

Bayesian Methods for Analyzing Individual-Level Data from Multiple Trials Considering Correlation, Non-compliance and N-of-1 Designs

Description:
Individual-Level Data (IPD) approach has become increasingly popular as it does not depend on published results. Combining IPD across multiple studies usually adopts a multilevel …
Year:
2024
Contributor:
Qu, Kexin (creator)
Schmid, Christopher (Advisor)
Liu, Tao (Reader)
De Vito, Roberta (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
causal inference
Meta-analysis
N-of-1 Trials
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Incorporating Biological Knowledge into the Statistical Analysis for Genomic Studies

Description:
The development of high-throughput sequencing technology enables a deeper understanding of gene regulatory mechanisms by performing statistical analyses of genomic data. Most traditional statistical approaches …
Year:
2023
Contributor:
Wei, Xiaoyu (creator)
Wu, Zhijin (Advisor)
De Vito, Roberta (Reader)
Eloyan, Ani (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Genomics--Statistical methods
Nucleotide sequence
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Interrogating Cellular Heterogeneity with Traditional Machine Learning and Single-Cell Foundation Models

Description:
Over the last decade, there have been dramatic improvements in assays that can measure RNA in single cells, collectively known as scRNA-seq. These methods have …
Year:
2025
Contributor:
Denadel, Alan (creator)
Singh, Ritambhara (Reader)
De Vito, Roberta (Reader)
Crawford, Lorin (Advisor)
Brown University. Center for Computational Molecular Biology (sponsor)
Genre:
theses
Subject:
RNA sequencing
unsupervised clustering
pancreatic cancer
knockoffs
Collection:
Center for Computational Molecular Biology
Theses and Dissertations
Full Record

Likelihood-based cell type classification using single-cell RNA-sequencing data

Description:
Background: Single-cell RNA sequencing (scRNA-seq) quantifies the whole transcriptome on a cellular level which enables the exploration of tissue heterogeneity in biological samples. One common …
Year:
2021
Contributor:
Yu, Chang (creator)
Wu, Zhijin (Advisor)
De Vito, Roberta (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
single cell RNA-sequencing
Bioinformatics
Classification
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Linear Mixed Models for Heterogeneity Estimation

Description:
This dissertation is motivated by complex data architectures—typical in genetics research—that break the assumptions of classical frequentist analyses. Predictors are not necessarily independent nor fewer …
Year:
2023
Contributor:
Udwin, Dana Lauren (creator)
Gutman, Roee (Reader)
De Vito, Roberta (Reader)
Crawford, Lorin (Advisor)
Ramachandran, Sohini (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Genetics
Biostatistics
Factor analysis
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Statistical and Computational Advances for Detecting Nonlinear Contributions to Complex Traits

Description:
Statistical genetics has improved our understanding of how genetic variation shapes human complex traits and diseases. Growing biobanks, improved sequencing technologies, and efforts of scientific …
Year:
2025
Contributor:
Stamp, Julian (creator)
Crawford, Lorin (Advisor)
Weinreich, Daniel (Advisor)
De Vito, Roberta (Reader)
Pasaniuc, Bogdan (Reader)
Brown University. Center for Computational Molecular Biology (sponsor)
Genre:
theses
Subject:
Computational biology
Genomics--Statistical methods
Collection:
Center for Computational Molecular Biology
Theses and Dissertations
Full Record

Statistical methods for binary biomarker identification in high throughput data with application in NanoString nCounter

Description:
Binary biomarkers—indicators based on the presence or absence of specific biological molecules—are critical for disease diagnosis and clinical prognosis, particularly in high-throughput -omics studies where …
Year:
2026
Contributor:
Yu, Chang (creator)
Wu, Zhijin (Advisor)
Duan, Fenghai (Reader)
De Vito, Roberta (Reader)
Kreiling, Jill (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
biomarkers
Biostatistics
Collection:
Public Health
Biostatistics
Theses and Dissertations
Available to Brown-affiliated users only
Full Record

Items (1-7) out of 7 results