marilisa montemurro - smartdata@polito...(in progress) 2. dna reads analysis, molecular profiles...
TRANSCRIPT
Modelling cancer evolution:an AI-based approach
Marilisa Montemurro
Materials and methods
Preliminary analysis results
Motivation and background
Addressed problem
Cancer is an evolving entity and the evolutionary properties of each tumor are likely to play a critical role in shaping its natural behaviour and how it responds to therapy.
The main goal of the present work is to combine mathematical modelling and AI‐based approaches to develop a new generation of cancer classifiers based on tumor evolutionary properties and proxy data.
I tested Ginkgo over a public dataset related to a breast tumor study conducted by Navin et al.3.
Supervisors: prof. Elisa Ficarra, prof. Paolo Garza, prof. Elio PiccoloDAUIN, Politecnico di Torino
References1) Garvin T et al. Interactive analysis and assessment of single‐cell copy‐number variations.2) Bowtie2. http://bowtie‐bio.sourceforge.net/bowtie2/index.shtml 3) Navin N et al. Tumor Evolution Inferred by Single Cell Sequencing. Nature.
1
Pipeline to build cancer sample phylogenetic trees from single‐cell DNA sequencing data and CNA’s profiles.
Navin et al. analysis results.
My Ginkgo analysis results.