Copy-number alterations for tumor progression inference

Claudia Cava; Italo Zoppis; Manuela Gariboldi; Isabella Castiglioni; Giancarlo Mauri; Marco Antoniotti

doi:10.1007/978-3-642-38326-7_16

Copy-number alterations for tumor progression inference

Claudia Cava, Italo Zoppis, Manuela Gariboldi, Isabella Castiglioni, Giancarlo Mauri, Marco Antoniotti

Fondazione IRCCS Istituto Nazionale dei Tumori

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Copy-number alterations (CNAs) represent an important component of genetic variations and play a significant role in many human diseases. Such alterations are related to certain types of cancers, including those of the pancreas, colon, and breast, among others. CNAs have been used as biomarkers for cancer prognosis in multiple studies, but few works report on the relation of CNAs with the disease progression. In this paper, we provide cases where the inference on the disease progression improves when exploiting CNA information. To this aim, a specific dissimilarity-based representation of patients is given. The employed framework outperforms a typical approach where patients are represented through a set of available attribute values. Three datasets were employed to validate the results of our analysis.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	104-109
Number of pages	6
Volume	7885 LNAI
ISBN (Print)	9783642383250
DOIs	https://doi.org/10.1007/978-3-642-38326-7_16
Publication status	Published - 2013
Event	14th Conference on Artificial Intelligence in Medicine, AIME 2013 - Murcia, Spain Duration: May 29 2013 → Jun 1 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7885 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	14th Conference on Artificial Intelligence in Medicine, AIME 2013
Country/Territory	Spain
City	Murcia
Period	5/29/13 → 6/1/13

Keywords

CNAs
dissimilarity representation
tumor progression

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-38326-7_16

Cite this

Cava, C., Zoppis, I., Gariboldi, M., Castiglioni, I., Mauri, G., & Antoniotti, M. (2013). Copy-number alterations for tumor progression inference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7885 LNAI, pp. 104-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7885 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-642-38326-7_16

Copy-number alterations for tumor progression inference. / Cava, Claudia; Zoppis, Italo; Gariboldi, Manuela et al.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7885 LNAI Springer Verlag, 2013. p. 104-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7885 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cava, C, Zoppis, I, Gariboldi, M, Castiglioni, I, Mauri, G & Antoniotti, M 2013, Copy-number alterations for tumor progression inference. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7885 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7885 LNAI, Springer Verlag, pp. 104-109, 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, 5/29/13. https://doi.org/10.1007/978-3-642-38326-7_16

Cava C, Zoppis I, Gariboldi M, Castiglioni I, Mauri G, Antoniotti M. Copy-number alterations for tumor progression inference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7885 LNAI. Springer Verlag. 2013. p. 104-109. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38326-7_16

Cava, Claudia ; Zoppis, Italo ; Gariboldi, Manuela et al. / Copy-number alterations for tumor progression inference. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7885 LNAI Springer Verlag, 2013. pp. 104-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - Copy-number alterations (CNAs) represent an important component of genetic variations and play a significant role in many human diseases. Such alterations are related to certain types of cancers, including those of the pancreas, colon, and breast, among others. CNAs have been used as biomarkers for cancer prognosis in multiple studies, but few works report on the relation of CNAs with the disease progression. In this paper, we provide cases where the inference on the disease progression improves when exploiting CNA information. To this aim, a specific dissimilarity-based representation of patients is given. The employed framework outperforms a typical approach where patients are represented through a set of available attribute values. Three datasets were employed to validate the results of our analysis.

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Copy-number alterations for tumor progression inference

Abstract

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Keywords

ASJC Scopus subject areas

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