activity
20072023
most citedRandom-set methods identify distinct aspects of the enrichment signal in gene-set analysis

194 citations · 328 across the 12 of their papers we have counts for

collaborators
Showing stat.APShow all

5 papers · 1 filter

stat.AP2022

Bayesian Nonparametric Vector Autoregressive Models via a Logit Stick-breaking Prior: an Application to Child Obesity

Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana +3

Overweight and obesity in adults are known to be associated with risks of metabolic and cardiovascular diseases. Because obesity is an epidemic, increasingly affecting children, it…

stat.AP2015★ 7 cited

Predictions Based on the Clustering of Heterogeneous Functions via Shape and Subject-Specific Covariates

Garritt L. Page, Fernando A. Quintana

We consider a study of players employed by teams who are members of the National Basketball Association where units of observation are functional curves that are realizations of pr…

stat.AP2012★ 8 cited

Multivariate Bayesian semiparametric models for authentication of food and beverages

Luis Gutiérrez, Fernando A. Quintana

Food and beverage authentication is the process by which foods or beverages are verified as complying with its label description, for example, verifying if the denomination of orig…

stat.AP2011★ 61 cited

Bayesian semiparametric inference for multivariate doubly-interval-censored data

Alejandro Jara, Emmanuel Lesaffre, Maria De Iorio +1

Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a funct…

stat.AP2007★ 194 cited

Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis

Michael A. Newton, Fernando A. Quintana, Johan A. den Boon +2

A prespecified set of genes may be enriched, to varying degrees, for genes that have altered expression levels relative to two or more states of a cell. Knowing the enrichment of g…