Alberto Cassese
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Explore the profile of Alberto Cassese including associated specialties, affiliations and a list of published articles.
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10
Citations
83
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Recent Articles
1.
Mondal D, Vanbelle S, Cassese A, Candel M
Stat Methods Med Res
. 2024 Feb;
33(3):532-553.
PMID: 38320802
Reliability of measurement instruments providing quantitative outcomes is usually assessed by an intraclass correlation coefficient. When participants are repeatedly measured by a single rater or device, or, are each rated...
2.
Li Q, Cassese A, Guindani M, Vannucci M
Biometrics
. 2018 Aug;
75(1):183-192.
PMID: 30125947
In this article, we develop a Bayesian hierarchical mixture regression model for studying the association between a multivariate response, measured as counts on a set of features, and a set...
3.
Buck A, Heijs B, Beine B, Schepers J, Cassese A, Heeren R, et al.
Anal Bioanal Chem
. 2018 Jul;
410(23):5969-5980.
PMID: 29968108
Mass spectrometry imaging (MSI) has provided many results with translational character, which still have to be proven robust in large patient cohorts and across different centers. Although formalin-fixed paraffin-embedded (FFPE)...
4.
Cassese A, Ellis S, Ogrinc Potocnik N, Burgermeister E, Ebert M, Walch A, et al.
Anal Chem
. 2016 May;
88(11):5871-8.
PMID: 27180608
Mass spectrometry imaging (MSI) is a powerful molecular imaging technique. In microprobe MSI, images are created through a grid-wise interrogation of individual spots by mass spectrometry across a surface. Classical...
5.
Trevino V, Cassese A, Nagy Z, Zhuang X, Herbert J, Antczak P, et al.
PLoS Comput Biol
. 2016 Apr;
12(4):e1004884.
PMID: 27124473
The advent of functional genomics has enabled the genome-wide characterization of the molecular state of cells and tissues, virtually at every level of biological organization. The difficulty in organizing and...
6.
Chiang S, Cassese A, Guindani M, Vannucci M, Yeh H, Haneef Z, et al.
Neuroimage
. 2015 Nov;
125:601-615.
PMID: 26518632
Brain graphs provide a useful way to computationally model the network structure of the connectome, and this has led to increasing interest in the use of graph theory to quantitate...
7.
Cassese A, Guindani M, Antczak P, Falciani F, Vannucci M
Biometrics
. 2015 Mar;
71(3):803-11.
PMID: 25771699
In this article we propose a Bayesian hierarchical model for the identification of differentially expressed genes in Daphnia magna organisms exposed to chemical compounds, specifically munition pollutants in water. The...
8.
Cassese A, Guindani M, Vannucci M
Cancer Inform
. 2014 Oct;
13(Suppl 2):29-37.
PMID: 25288877
We consider a Bayesian hierarchical model for the integration of gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. The approach defines a measurement...
9.
Cassese A, Guindani M, Tadesse M, Falciani F, Vannucci M
Ann Appl Stat
. 2014 May;
8(1):148-175.
PMID: 24834139
A number of statistical models have been successfully developed for the analysis of high-throughput data from a single source, but few methods are available for integrating data from different sources....
10.
Blangiardo M, Cassese A, Richardson S
BMC Bioinformatics
. 2010 May;
11:270.
PMID: 20487547
Background: In microarray studies researchers are often interested in the comparison of relevant quantities between two or more similar experiments, involving different treatments, tissues, or species. Typically each experiment reports...