Publications
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Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior od...
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring
Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumo...
Researching Lived Experience: Human Science for an Action Sensitive Pedagogy
Preface Preface to the 2nd Edition 1. Human Science Introduction Why Do Human Science Research? What Is a Hermeneutic Phenomenological Human Science? What Does it Mean to Be Rat...
Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection
Due to the safety risks and training sample inefficiency, it is often preferred to develop controllers in simulation. However, minor differences between the simulation and the r...
A survey on Image Data Augmentation for Deep Learning
Abstract Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfi...
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics ...