M
Mauro Colafranceschi
Researcher at Istituto Superiore di Sanità
Publications - 7
Citations - 430
Mauro Colafranceschi is an academic researcher from Istituto Superiore di Sanità. The author has contributed to research in topics: Series (mathematics) & Cancer. The author has an hindex of 5, co-authored 7 publications receiving 393 citations. Previous affiliations of Mauro Colafranceschi include Sapienza University of Rome.
Papers
More filters
Journal ArticleDOI
Microsatellite instability as a marker of prognosis and response to therapy: a meta-analysis of colorectal cancer survival data.
TL;DR: This study confirmed the association between MSI and favourable prognosis as determined by both OS and DFS of CRC patients and proposed that this inconclusive result is due to the use of a single marker, such as MSI, that cannot account alone for the complexity of the mechanisms underlying 5-FU cytotoxicity.
Journal ArticleDOI
A complexity score derived from principal components analysis of nonlinear order measures
TL;DR: In this paper, a global complexity score for numerical series is derived from principal components analysis of a group of nonlinear measures of experimental as well simulated series, and the concept of complexity is demonstrated to be independent from other descriptors of ordered series such as the amount of variance, the departure from normality and the relative nonstationarity; and mainly related to the number of independent elements (or operations) needed to synthesize the series.
Journal ArticleDOI
Structure-related statistical singularities along protein sequences: a correlation study.
Mauro Colafranceschi,Alfredo Colosimo,Joseph P. Zbilut,Vladimir N. Uversky,Alessandro Giuliani +4 more
TL;DR: The most deterministic proteins in terms of autocorrelation properties of primary structures were found to be involved in protein-protein and protein-DNA interactions and to display a significantly higher proportion of structural disorder with respect to the average data set.
Book ChapterDOI
Mutagenicity, carcinogenicity, and other end points.
Romualdo Benigni,Chiara Laura Battistelli,Cecilia Bossa,Mauro Colafranceschi,Olga Tcheremenskaia +4 more
TL;DR: This chapter, after a general overview of traditional and well-known approaches, gives a detailed presentation of the latter more recent support tools freely available in the public domain.
Journal ArticleDOI
Assessment and validation of US EPA's OncoLogic® expert system and analysis of its modulating factors for structural alerts.
TL;DR: To better understand the strength of the SAR science in OncoLogic®, a select group of modulating factors on the predictions by the structural alerts were investigated.