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Limited By:	Subject = Statistical modeling;

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Displaying Results 1 - 4 of 4 on page 1 of 1

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A statistical modeling based system for blink detection in digital cameras (2013)

Corcoran, Peter; Bacivarov, Ioana; Jonita, Mircea C

A statistical modeling based system for blink detection in digital cameras (2013)

Corcoran, Peter; Bacivarov, Ioana; Jonita, Mircea C

Abstract:

Conference paper
In this paper we describe a system which uses statistical eye modeling to track the eyes and detect eyes blinking. The main challenge was to design an eye model robust to small variations of head pose and to extract the parameters of the model which encode the variation caused by blinking.

http://hdl.handle.net/10379/3850

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Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma (2018)

Wolsztynski, Eric; O'Sullivan, Finbarr; Keyes, Eimear; O'Sullivan, Janet; Ear...

Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma (2018)

Wolsztynski, Eric; O'Sullivan, Finbarr; Keyes, Eimear; O'Sullivan, Janet; Eary, Janet F.

Abstract:

Intratumoral heterogeneity biomarkers derived from positron emission tomography (PET) imaging with fluorodeoxyglucose (FDG) are of interest for a number of cancers, including sarcoma. A range of radiomic texture variables, adapted from general methodologies for image analysis, has shown promise in the setting. In the context of sarcoma, our group introduced an alternative model-based approach to the measurement of heterogeneity. In this approach, the heterogeneity of a tumor is characterized by the extent to which the 3-D FDG uptake pattern deviates from a simple elliptically contoured structure. By using a nonparametric analysis of the uptake profile obtained from this spatial model, a variable assessing the metabolic gradient of the tumor is developed. The work explores the prognostic potential of this new variable in the context of FDG-PET imaging of sarcoma. A mature clinical series involving 197 patients, 88 of whom have complete time-to-death information, is used. Texture vari...

http://hdl.handle.net/10468/6883

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Simplicity DiffExpress: A bespoke cloud-based interface for RNA-seq differential expression modeling and analysis (2019)

Palu, Cintia C.; Ribeiro-Alves, Marcelo; Wu, Yanxin; Lawlor, Brendan; Baranov, Pavel V....

Simplicity DiffExpress: A bespoke cloud-based interface for RNA-seq differential expression modeling and analysis (2019)

Palu, Cintia C.; Ribeiro-Alves, Marcelo; Wu, Yanxin; Lawlor, Brendan; Baranov, Pavel V.; Kelly, Brian; Walsh, Paul

Abstract:

One of the key challenges for transcriptomics-based research is not only the processing of large data but also modeling the complexity of features that are sources of variation across samples, which is required for an accurate statistical analysis. Therefore, our goal is to foster access for wet lab researchers to bioinformatics tools, in order to enhance their ability to explore biological aspects and validate hypotheses with robust analysis. In this context, user-friendly interfaces can enable researchers to apply computational biology methods without requiring bioinformatics expertise. Such bespoke platforms can improve the quality of the findings by allowing the researcher to freely explore the data and test a new hypothesis with independence. Simplicity DiffExpress is a data-driven software platform dedicated to enabling non-bioinformaticians to take ownership of the differential expression analysis step in a transcriptomics experiment while presenting the results in a comprehe...

http://hdl.handle.net/10468/9068

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Warm streaks in the U.S. temperature record: What are the chances? (2014)

Craigmile, Peter F.; Guttorp, Peter; Lund, R.; Thorne, Peter; Arndt, Derek

Warm streaks in the U.S. temperature record: What are the chances? (2014)

Craigmile, Peter F.; Guttorp, Peter; Lund, R.; Thorne, Peter; Arndt, Derek

Abstract:

A recent observation in NOAA’s National Climatic Data Center’s monthly assessment of the state of the climate was that contiguous U.S. average monthly temperatures were in the top third of monthly ranked historical temperatures for 13 straight months from June 2011 to June 2012. The chance of such a streak occurring randomly was quoted as (1∕3)13, or about one in 1.6 million. The streak continued for three more months before the October 2012 value dropped below the upper tercile. The climate system displays a degree of persistence that increases this probability relative to the assumption of independence. This paper puts forth different statistical techniques that more accurately quantify the probability of this and other such streaks. We consider how much more likely streaks are when an underlying warming trend is accounted for in the record, the chance of streaks occurring anywhere in the record, and the distribution of the record’s longest streak.

http://mural.maynoothuniversity.ie/8974/

Displaying Results 1 - 4 of 4 on page 1 of 1