Compositional approaches for the characterization and mining of omics data

Events

Invited Visiting Scientits and Invited Talks

Teresa Przytycka, senior investigator at National Institute of Health (Bethesda, USA): Towards systems level analysis of tumor heterogeneity.
20 Gennaio 2015, Dipartimento di Matematica e Informatica, Via Archirafi 34 (Palermo).
ABSTRACT:
Uncovering and interpreting genotype/phenotype relationships are among the most challenging open questions in disease studies. In cancer, uncovering these relationships is complicated even further due to the heterogeneous nature of the disease. Over the years, we have developed several algorithms that help to analyze heterogeneous cancer data in the context of uncovering genotype-phenotype relations, identification of dysregulated pathways, and cancer classification. These approaches span a large spectrum of algorithmic techniques including optimization-based techniques and mixture models. Taken together, these approaches help to leverage datasets collected through TCGA and other initiatives for better understanding of cancer and cancer diversity.
Paola Paci - Researcher - Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" (IASI-CNR) - Roma
Teresa Colombo - Research Fellow - Istituto per le Applicazioni del Calcolo "M. Picone" (IAC-CNR) - Roma
July 27th-28th-29th 2015, Scientific consulting at Dipartimento di Informatica, Modellistica, Elettronica e Sistemistica dell’Università della Calabria (DIMES-UNICAL)

Project Meetings