User profiles for C. Furlanello

Cesare Furlanello

HK3 Lab (Rovereto, Italy) & LIGHT Center (Brescia, Italy)
Verified email at hk3lab.ai
Cited by 12740

[HTML][HTML] Reporting guidelines for human microbiome research: the STORMS checklist

…, AA Fodor, S Forslund, A Franke, C Furlanello… - Nature medicine, 2021 - nature.com
The particularly interdisciplinary nature of human microbiome research makes the organization
and reporting of results spanning epidemiology, biology, bioinformatics, translational …

Repeatability of published microarray gene expression analyses

…, X Cui, AC Culhane, M Falchi, C Furlanello… - Nature …, 2009 - nature.com
Given the complexity of microarray-based gene expression studies, guidelines encourage
transparent design and public data availability. Several journals require public data …

[PDF][PDF] Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta‐omics‐based approach

…, A Russo, C De Stefanis, D Gnani, C Furlanello… - …, 2017 - Wiley Online Library
There is evidence that nonalcoholic fatty liver disease (NAFLD) is affected by gut microbiota.
Therefore, we investigated its modifications in pediatric NAFLD patients using targeted …

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

…, M Bessarabova, Y Nikolsky, C Furlanello… - Nature …, 2014 - nature.com
The concordance of RNA-sequencing (RNA-seq) with microarrays for genome-wide analysis
of differential gene expression has not been rigorously assessed using a range of chemical …

Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products

PM Granitto, C Furlanello, F Biasioli… - … and intelligent laboratory …, 2006 - Elsevier
… , a problem with c classes is decomposed into q = c(c − 1) / 2 binary problems, each one
discriminating between 2 of the c classes. To solve each problem we train a linear SVM with C = …

[HTML][HTML] Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review

…, A Soriano, G Jurman, G Capella, C Furlanello… - PloS one, 2012 - journals.plos.org
Introduction The traditional staging system is inadequate to identify those patients with
stage II colorectal cancer (CRC) at high risk of recurrence or with stage III CRC at low risk. A …

[HTML][HTML] Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

…, W Zhang, D Thierry-Mieg, J Wang, C Furlanello… - Genome biology, 2015 - Springer
c Absolute numbers and overlap of differentially expressed genes (DEGs) identified by RNA-…
c, d Model performance of internal validation compared with external validation based on (c

[HTML][HTML] A comparison of MCC and CEN error measures in multi-class prediction

G Jurman, S Riccadonna, C Furlanello - 2012 - journals.plos.org
We show that the Confusion Entropy, a measure of performance in multiclass problems has
a strong (monotone) relation with the multiclass generalization of a classical metric, the …

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

…, S Riccadonna, G Jurman, C Furlanello - …, 2013 - academic.oup.com
We introduce a novel implementation in ANSI C of the MINE family of algorithms for computing
maximal information-based measures of dependence between two variables in large …

Machine learning methods for predictive proteomics

…, S Merler, M Chierici, C Furlanello - Briefings in …, 2008 - academic.oup.com
The search for predictive biomarkers of disease from high-throughput mass spectrometry (MS)
data requires a complex analysis path. Preprocessing and machine-learning modules are …