Samantha Riccadonna
Samantha Riccadonna
Unknown affiliation
No verified email
TitleCited byYear
The MAQC-II project: a comprehensive study of common practices for the development and validation of microarray-based predictive models.
L Shi, G Campbell, W Jones, F Campagne, Z Wen, S Walker, Z Su, T Chu, ...
Nature biotechnology 28 (8), 827-838, 2010
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ...
Nature biotechnology 32 (9), 926-932, 2014
A Comparison of MCC and CEN Error Measures in Multi-Class Prediction
G Jurman, S Riccadonna, C Furlanello
PloS one 7 (8), e41882, 2012
Clinical Value of Prognosis Gene Expression Signatures in Colorectal Cancer: A Systematic Review
R Sanz-Pamplona, A Berenguer, D Cordero, S Riccadonna, X Solé, ...
PloS one 7 (11), e48877, 2012
minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
D Albanese, M Filosi, R Visintainer, S Riccadonna, G Jurman, ...
Bioinformatics 29 (3), 407-408, 2013
Canberra distance on ranked lists
G Jurman, S Riccadonna, R Visintainer, C Furlanello
Proceedings, Advances in Ranking–NIPS 09 Workshop, 22-27, 2009
Machine learning methods for predictive proteomics
A Barla, G Jurman, S Riccadonna, S Merler, M Chierici, C Furlanello
Briefings in bioinformatics 9 (2), 119-128, 2008
mlpy: Machine Learning Python
D Albanese, R Visintainer, S Merler, S Riccadonna, G Jurman, ...
Arxiv preprint arXiv:1202.6548, 2012
Parenting dimensions in mothers and fathers of children with Autism Spectrum Disorders
Y Ozturk, S Riccadonna, P Venuti
Research in Autism Spectrum Disorders 8 (10), 1295-1306, 2014
Algebraic Comparison of Partial Lists in Bioinformatics
G Jurman, S Riccadonna, R Visintainer, C Furlanello
PLoS ONE 7 (5), e36540, 2012
The HIM glocal metric and kernel for network comparison and classification
G Jurman, R Visintainer, M Filosi, S Riccadonna, C Furlanello
arXiv preprint arXiv:1201.2931, 2012
Stability Indicators in Network Reconstruction
M Filosi, R Visintainer, S Riccadonna, G Jurman, C Furlanello
PLOS ONE 9 (2), e89815, 2014
Systems biology of host–mycobiota interactions: Dissecting Dectin-1 and Dectin-2 signalling in immune cells with DC-ATLAS
L Rizzetto, C De Filippo, D Rivero, S Riccadonna, L Beltrame, D Cavalieri
Immunobiology 218 (11), 1428-1437, 2013
Transcriptome and cell physiological analyses in different rice cultivars provide novel insights into adaptive and salinity stress responses
E Formentin, C Sudiro, G Perin, S Riccadonna, E Barizza, E Baldoni, ...
Frontiers in Plant Science 9, 204, 2018
M Ulaszewska, C Weinert, A Trimigno, R Portmann, CA Lacueva, ...
Molecular Nutrition & Food Research 63 (1), 2019
Supervised classification of combined copy number and gene expression data
S Riccadonna, G Jurman, S Merler, S Paoli, A Quattrone, C Furlanello
Journal of Integrative Bioinformatics 4 (3), 168-185, 2007
mlpy: Machine Learning PYThon. 2012
D Albanese, R Visintainer, S Merler, S Riccadonna, G Jurman, ...
Project homepage at http://mlpy. fbk. eu, 0
Identification of Biomarkers for Defense Response to Plasmopara viticola in a Resistant Grape Variety
G Chitarrini, E Soini, S Riccadonna, P Franceschi, L Zulini, D Masuero, ...
Frontiers in Plant Science 8, 1524, 2017
A machine learning pipeline for discriminant pathways identification
A Barla, G Jurman, R Visintainer, M Squillario, M Filosi, S Riccadonna, ...
Computational Intelligence Methods for Bioinformatics and Biostatistics, 36-48, 2012
A glocal distance for network comparison
G Jurman, R Visintainer, S Riccadonna, M Filosi, C Furlanello
Arxiv preprint arXiv:1201.2931, 2012
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