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Life Sciences

Washington University in St. Louis

Theses/Dissertations

2017

Evolution

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Robust Algorithms For Detecting Hidden Structure In Biological Data, Roman Sloutsky Aug 2017

Robust Algorithms For Detecting Hidden Structure In Biological Data, Roman Sloutsky

Arts & Sciences Electronic Theses and Dissertations

Biological data, such as molecular abundance measurements and protein

sequences, harbor complex hidden structure that reflects its underlying

biological mechanisms. For example, high-throughput abundance measurements

provide a snapshot the global state of a living cell, while homologous

protein sequences encode the residue-level logic of the proteins' function

and provide a snapshot of the evolutionary trajectory of the protein family.

In this work I describe algorithmic approaches and analysis software I

developed for uncovering hidden structure in both kinds of data.

Clustering is an unsurpervised machine learning technique commonly used

to map the structure of data collected in high-throughput experiments,

such …


The Solid & The Shifting: Darwinian Time, Evolutionary Form And The Greek Ideal 
In The Early Works Of Virginia Woolf, Joseph Monroe Kreutziger Aug 2017

The Solid & The Shifting: Darwinian Time, Evolutionary Form And The Greek Ideal 
In The Early Works Of Virginia Woolf, Joseph Monroe Kreutziger

Arts & Sciences Electronic Theses and Dissertations

ABSTRACT OF THE DISSERTATION

“The Solid & the Shifting”: Evolutionary Form, Darwinian Time, and the Greek Ideal in the Early Works of Virginia Woolf

By

Joseph Kreutziger

Doctor of Philosophy in English and American Literature

Washington University in St. Louis, 2017

Professors Melanie Micir, Robert Milder, Steven Meyer, Vincent Sherry, Zoe Stamatopoulou

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“Now is life very solid or very shifting?” Virginia Woolf asks in her diary of 1931, a question she claims haunts her in its contradictions. This dynamism between the solid and the shifting aspects of life and temporality is fundamental to an analysis of Woolf’s writing process. …