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Browsing by Subject "Algorithms"
Now showing items 1-20 of 138
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A Bayesian Approach to Inferring Rates of Selfing and Locus-Specific Mutation.
(Genetics, 2015-11)We present a Bayesian method for characterizing the mating system of populations reproducing through a mixture of self-fertilization and random outcrossing. Our method uses patterns of genetic variation across the genome ... -
A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy.
(Technology in cancer research & treatment, 2019-01)PURPOSE:To optimize collimator setting to improve dosimetric quality of pancreas volumetric modulated arc therapy plan for stereotactic body radiation therapy. MATERIALS AND METHODS:Fifty-five volumetric modulated arc therapy ... -
A functional analysis of the spacer of V(D)J recombination signal sequences.
(PLoS Biol, 2003-10)During lymphocyte development, V(D)J recombination assembles antigen receptor genes from component V, D, and J gene segments. These gene segments are flanked by a recombination signal sequence (RSS), which serves as the ... -
A latent factor linear mixed model for high-dimensional longitudinal data analysis.
(Statistics in medicine, 2013-10)High-dimensional longitudinal data involving latent variables such as depression and anxiety that cannot be quantified directly are often encountered in biomedical and social sciences. Multiple responses are used to characterize ... -
A neural network-based method for spectral distortion correction in photon counting x-ray CT.
(Physics in medicine and biology, 2016-08)Spectral CT using a photon counting x-ray detector (PCXD) shows great potential for measuring material composition based on energy dependent x-ray attenuation. Spectral CT is especially suited for imaging with K-edge contrast ... -
A new algorithm for predicting time to disease endpoints in Alzheimer's disease patients.
(J Alzheimers Dis, 2014)BACKGROUND: The ability to predict the length of time to death and institutionalization has strong implications for Alzheimer's disease patients and caregivers, health policy, economics, and the design of intervention studies. ... -
A new fully automated approach for aligning and comparing shapes.
(Anatomical record (Hoboken, N.J. : 2007), 2015-01)Three-dimensional geometric morphometric (3DGM) methods for placing landmarks on digitized bones have become increasingly sophisticated in the last 20 years, including greater degrees of automation. One aspect shared by ... -
A new open-access platform for measuring and sharing mTBI data.
(Scientific reports, 2021-04)Despite numerous research efforts, the precise mechanisms of concussion have yet to be fully uncovered. Clinical studies on high-risk populations, such as contact sports athletes, have become more common and give insight ... -
A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.
(PLoS Comput Biol, 2015-08)Understanding the theoretical foundations of how memories are encoded and retrieved in neural populations is a central challenge in neuroscience. A popular theoretical scenario for modeling memory function is the attractor ... -
Advances to Bayesian network inference for generating causal networks from observational biological data.
(Bioinformatics, 2004-12-12)MOTIVATION: Network inference algorithms are powerful computational tools for identifying putative causal interactions among variables from observational data. Bayesian network inference algorithms hold particular promise ... -
Algorithm for the early diagnosis and treatment of patients with cross reactive immunologic material-negative classic infantile pompe disease: a step towards improving the efficacy of ERT.
(PLoS One, 2013)OBJECTIVE: Although enzyme replacement therapy (ERT) is a highly effective therapy, CRIM-negative (CN) infantile Pompe disease (IPD) patients typically mount a strong immune response which abrogates the efficacy of ERT, ... -
Algorithmic handwriting analysis of the Samaria inscriptions illuminates bureaucratic apparatus in biblical Israel.
(PloS one, 2020-01)Past excavations in Samaria, capital of biblical Israel, yielded a corpus of Hebrew ink on clay inscriptions (ostraca) that documents wine and oil shipments to the palace from surrounding localities. Many questions regarding ... -
Algorithms for Networks With Uncertainty
(2019)In this dissertation, we study algorithmic problems motivated by the optimization of networks under uncertainty.We summarize our contributions:\begin{itemize}\item \textbf{Subset $k$-server:} We propose and give algorithms ... -
Algorithms For Treatment of Major Depressive Disorder: Efficacy and Cost-Effectiveness.
(Pharmacopsychiatry, 2019-03)In spite of multiple new treatment options, chronic and treatment refractory courses still are a major challenge in the treatment of depression. Providing algorithm-guided antidepressant treatments is considered an important ... -
An active learning approach for rapid characterization of endothelial cells in human tumors.
(PLoS One, 2014)Currently, no available pathological or molecular measures of tumor angiogenesis predict response to antiangiogenic therapies used in clinical practice. Recognizing that tumor endothelial cells (EC) and EC activation and ... -
An age-structured extension to the vectorial capacity model.
(PLoS One, 2012)BACKGROUND: Vectorial capacity and the basic reproductive number (R(0)) have been instrumental in structuring thinking about vector-borne pathogen transmission and how best to prevent the diseases they cause. One of the ... -
An automated method for comparing motion artifacts in cine four-dimensional computed tomography images.
(Journal of applied clinical medical physics, 2012-11-08)The aim of this study is to develop an automated method to objectively compare motion artifacts in two four-dimensional computed tomography (4D CT) image sets, and identify the one that would appear to human observers with ... -
Applications of Persistent Homology to Time Varying Systems
(2013)This dissertation extends the theory of persistent homology to time varying systems. Most of the previous work has been dedicated to using this powerful tool in topological data analysis to study static point clouds. In ... -
Assessing the utility of thermodynamic features for microRNA target prediction under relaxed seed and no conservation requirements.
(PLoS One, 2011)BACKGROUND: Many computational microRNA target prediction tools are focused on several key features, including complementarity to 5'seed of miRNAs and evolutionary conservation. While these features allow for successful ... -
Auctions, Equilibria, and Budgets
(2012)We design algorithms for markets consisting of multiple items, and agents with budget constraints on the maximum amount of money they can afford to spend. This problem can be considered under two broad frameworks. (a) From ...
