Publications

Displaying 26 - 29 of 29

Automated Ranking of Stem Cell Colonies by Translating Biological Rules to Computational Models

September 20, 2014

Author(s)

Adele P. Peskin, Steven P. Lund, YaShian Li-Baboud, Michael W. Halter, Anne L. Plant, Peter Bajcsy

This paper addresses the problem of automating an image ranking process for stem cell colonies. We automate the manual process in a novel way: instead of fitting off-the-shelf image features and colony ranks to prediction models, we define a new feature

Transcriptional Analysis of the Global Regulatory Networks Active in Pseudomonas Syringae During Leaf Colonization

September 1, 2014

Author(s)

Steven Lund

The plant pathogen Pseudomonas syringae pv. syringae B728a grows and survives on leaf surfaces and in the leaf apoplast of its host, bean (Phaseolus vulgaris). To understand the contribution of distinct regulators to B728a fitness and pathogenicity, we

Boltzmann's H-Function and Diffusion Processes

May 15, 2013

Author(s)

Steven P. Lund, Joseph B. Hubbard, Michael W. Halter

There exists a generalization of Boltzmann's $H$-function that allows for non-uniformly populated stationary states which may exist far from thermodynamic equilibrium. Here we describe a method for obtaining a generalized or collective diffusion

Detecting Differential Expression in RNA-Sequence Data Using Quasi-Likelihood with Shrunken Dispersion Estimates

October 12, 2012

Author(s)

Steven P. Lund

Next generation sequencing technology provides a powerful tool for measuring gene expression (mRNA) levels in the form of RNA-sequence data. Method development for identifying differentially expressed (DE) genes from RNA-seq data, which frequently includes

Search Publications by: Steven Lund (Fed)