Search Results - "Schissler, A Grant"
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Developing a ‘personalome’ for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes
Published in Briefings in bioinformatics (21-05-2019)“…Abstract The development of computational methods capable of analyzing -omics data at the individual level is critical for the success of precision medicine…”
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Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes
Published in Journal of the Royal Statistical Society. Series A, Statistics in society (01-06-2018)“…We develop a quantitative methodology to characterize vulnerability among 132 US urban centres (‘cities’) to terrorist events, applying a place-based…”
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NBIA: a network-based integrative analysis framework – applied to pathway analysis
Published in Scientific reports (06-03-2020)“…With the explosion of high-throughput data, effective integrative analyses are needed to decipher the knowledge accumulated in biological databases. Existing…”
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Statistical Comparison and Assessment of Four Fire Emissions Inventories for 2013 and a Large Wildfire in the Western United States
Published in Fire (Basel, Switzerland) (01-02-2022)“…Wildland fires produce smoke plumes that impact air quality and human health. To understand the effects of wildland fire smoke on humans, the amount and…”
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Testing for differentially expressed genetic pathways with single-subject N-of-1 data in the presence of inter-gene correlation
Published in Statistical methods in medical research (01-12-2018)“…Modern precision medicine increasingly relies on molecular data analytics, wherein development of interpretable single-subject (“N-of-1”) signals is a…”
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Adjusting statistical benchmark risk analysis to account for non-spatial autocorrelation, with application to natural hazard risk assessment
Published in Journal of applied statistics (04-07-2022)“…We develop and study a quantitative, interdisciplinary strategy for conducting statistical risk analyses within the 'benchmark risk' paradigm of contemporary…”
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N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes
Published in BMC medical genomics (24-05-2017)“…Transcriptome analytic tools are commonly used across patient cohorts to develop drugs and predict clinical outcomes. However, as precision medicine pursues…”
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Dynamic changes of RNA-sequencing expression for precision medicine: N-of-1-pathways Mahalanobis distance within pathways of single subjects predicts breast cancer survival
Published in Bioinformatics (Oxford, England) (15-06-2015)“…The conventional approach to personalized medicine relies on molecular data analytics across multiple patients. The path to precision medicine lies with…”
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A genome-by-environment interaction classifier for precision medicine: personal transcriptome response to rhinovirus identifies children prone to asthma exacerbations
Published in Journal of the American Medical Informatics Association : JAMIA (01-11-2017)“…Abstract Objective To introduce a disease prognosis framework enabled by a robust classification scheme derived from patient-specific transcriptomic response…”
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Analysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells
Published in Bioinformatics (15-06-2016)“…As 'omics' biotechnologies accelerate the capability to contrast a myriad of molecular measurements from a single cell, they also exacerbate current analytical…”
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kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects
Published in Journal of biomedical informatics (01-02-2017)“…[Display omitted] •A method to unveil dynamic, patient-level transcriptomic response to therapy.•First method to detect bidirectional pathway dysregulation…”
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A flexible multivariate model for high-dimensional correlated count data
Published in Journal of statistical distributions and applications (16-03-2021)“…We propose a flexible multivariate stochastic model for over-dispersed count data. Our methodology is built upon mixed Poisson random vectors ( Y 1 ,…, Y d ),…”
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Simulating High-Dimensional Multivariate Data using the bigsimr R Package
Published 11-11-2021“…It is critical to accurately simulate data when employing Monte Carlo techniques and evaluating statistical methodology. Measurements are often correlated and…”
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