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Istituto di scienza dell'alimentazione

Torna all'elenco Contributi in volume anno 2015

Contributo in volume

Tipo: Contributo in volume

Titolo: Basic Exploratory Proteins Analysis with Statistical Methods Applied on Structural Features

Anno di pubblicazione: 2015

Formato: Elettronico

: Capitolo

Autori: Eugenio Del Prete, Serena Dotolo, Anna Marabotti, and Angelo Facchiano

Affiliazioni autori: EDP, SD, AF: CNR-ISA AM: Univ. Salerno

Autori CNR:


Lingua: inglese

Sintesi: Exploratory Data Analysis (EDA) is an approach for summarizing and visualizing the important characteristics of a data set, in order to make a prearranged data screening and display multivariate data in a graphical way, to render them more comprehensible. Moreover, it reveals hidden aspects within the simple evaluations. In particular, EDA is suitable for datasets with comparable variables, as structural-geometrical protein features. In this work, we analyzed some proteins belonging to ten different architectural families. After retrieval, feature selection and normalization stages, the dataset has been processed by means of simple correlation, partial correlation and principal component analysis (PCA), highlighting familyindependent or family-specific relationships, and possible outliers for the dataset itself. The results can be useful to connect these features to functional protein properties.

Lingua sintesi: eng

Pagine da: 173

Pagine a: 187

Titolo del volume: Mathematical Models in Biology

ISBN: 978-3-319-23496-0

DOI: 10.1007/978-3-319-23497-7

Editore: Springer International Publishing, CH-6330 Cham (ZG) (CHE)

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Parole chiave:

  • Correlation o Exploratory data analysis o Global features o Principal component analysis o Protein structure

Strutture CNR:


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