PATRI, a Genomics Data Integration Tool for Biomarker Discovery
Joint Authors
Callari, Maurizio
Daidone, Maria Grazia
Ukmar, G.
Melloni, G. E. M.
Raddrizzani, L.
Rossi, P.
Di Bella, S.
Pirchio, M. R.
Vescovi, M.
Leone, A.
Cesarini, M.
Somaschini, A.
Della Vedova, G.
Pettenella, M.
Isacchi, A.
Bosotti, R.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The availability of genomic datasets in association with clinical, phenotypic, and drug sensitivity information represents an invaluable source for potential therapeutic applications, supporting the identification of new drug sensitivity biomarkers and pharmacological targets.
Drug discovery and precision oncology can largely benefit from the integration of treatment molecular discriminants obtained from cell line models and clinical tumor samples; however this task demands comprehensive analysis approaches for the discovery of underlying data connections.
Here we introduce PATRI (Platform for the Analysis of TRanslational Integrated data), a standalone tool accessible through a user-friendly graphical interface, conceived for the identification of treatment sensitivity biomarkers from user-provided genomics data, associated with information on sample characteristics.
PATRI streamlines a translational analysis workflow: first, baseline genomics signatures are statistically identified, differentiating treatment sensitive from resistant preclinical models; then, these signatures are used for the prediction of treatment sensitivity in clinical samples, via random forest categorization of clinical genomics datasets and statistical evaluation of the relative phenotypic features.
The same workflow can also be applied across distinct clinical datasets.
The ease of use of the PATRI tool is illustrated with validation analysis examples, performed with sensitivity data for drug treatments with known molecular discriminants.
American Psychological Association (APA)
Ukmar, G.& Melloni, G. E. M.& Raddrizzani, L.& Rossi, P.& Di Bella, S.& Pirchio, M. R.…[et al.]. 2018. PATRI, a Genomics Data Integration Tool for Biomarker Discovery. BioMed Research International،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1124824
Modern Language Association (MLA)
Ukmar, G.…[et al.]. PATRI, a Genomics Data Integration Tool for Biomarker Discovery. BioMed Research International No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1124824
American Medical Association (AMA)
Ukmar, G.& Melloni, G. E. M.& Raddrizzani, L.& Rossi, P.& Di Bella, S.& Pirchio, M. R.…[et al.]. PATRI, a Genomics Data Integration Tool for Biomarker Discovery. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1124824
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124824