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

…, G Jurman, S Riccadonna, M Filosi, R Visintainer… - 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 …

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

D Albanese, M Filosi, R Visintainer… - …, 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 …

[PDF][PDF] Landscape of conditional eQTL in dorsolateral prefrontal cortex and co-localization with schizophrenia GWAS

…, JMJ Derry, KK Dang, SK Sieberts, R Visintainer… - The American Journal of …, 2018 - cell.com
Causal genes and variants within genome-wide association study (GWAS) loci can be
identified by integrating GWAS statistics with expression quantitative trait loci (eQTL) and …

[PDF][PDF] Canberra distance on ranked lists

G Jurman, S Riccadonna, R Visintainer… - Proceedings of advances …, 2009 - Citeseer
The Canberra distance is the sum of absolute values of the differences between ranks divided
by their sum, thus it is a weighted version of the L1 distance. As a metric on permutation …

mlpy: Machine learning python

D Albanese, R Visintainer, S Merler… - arXiv preprint arXiv …, 2012 - arxiv.org
mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and
the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning …

pBO-2GP-3B: A batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics

…, JM Furlan, KV Pagalthivarthi, RJ Visintainer… - Computer Methods in …, 2019 - Elsevier
In this work, we present a constrained batch-parallel Bayesian optimization (BO) framework,
termed pBO-2GP-3B, to accelerate the optimization process for high-dimensional and …

Erosion–corrosion performance of high-Cr cast iron alloys in flowing liquid–solid slurries

HH Tian, GR Addie, RJ Visintainer - Wear, 2009 - Elsevier
In many slurry transportation systems, such as in FGD (Flue Gas Desulphurization) and
chemical processing applications, corrosion and erosion are the two main mechanisms of …

The HIM glocal metric and kernel for network comparison and classification

G Jurman, R Visintainer, M Filosi… - … conference on data …, 2015 - ieeexplore.ieee.org
Comparing and classifying graphs represent two essential steps for network analysis,
across different scientific and applicative domains. Here we deal with both operations by …

WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes

A Tran, JM Furlan, KV Pagalthivarthi, RJ Visintainer… - Wear, 2019 - Elsevier
… 30a and b show the coefficient of determination R 2 between WearGP and CFD wear
predictions for slurry pump impeller, using ( H , Q , d 50 , C v ) and ( H , % BEPQ , d 50 , C v ) basis, …

Development of A-scan ultrasound technique for measuring local particle concentration in slurry flows

…, V Mundla, J Kadambi, N Hoyt, R Visintainer… - Powder technology, 2012 - Elsevier
The effects of solid particle concentration on hydraulic performance and wear need to be
considered during the design of slurry transport equipment used in the petroleum and mining …