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2nd ISMCO 2020: San Diego, CA, USA
- George Bebis, Max A. Alekseyev, Heyrim Cho, Jana Gevertz, María Rodríguez Martínez:
Mathematical and Computational Oncology - Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8-10, 2020, Proceedings. Lecture Notes in Computer Science 12508, Springer 2020, ISBN 978-3-030-64510-6
Invited Talk
- Jean Clairambault
:
Plasticity in Cancer Cell Populations: Biology, Mathematics and Philosophy of Cancer. 3-9
Statistical and Machine Learning Methods for Cancer Research
- Cristian Axenie
, Daria Kurz:
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer. 13-24 - Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain
, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil
, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman
:
Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer. 25-31 - Sokratis Makrogiannis
, Chelsea E. Harris
, Keni Zheng
:
Discriminative Localized Sparse Representations for Breast Cancer Screening. 32-43 - Elliot Gray
, Shannon Liudahl, Shamilene Sivagnanam, Courtney Betts, Jason Link, Dove Keith, Brett Sheppard, Rosalie Sears, Guillaume Thibault, Joe W. Gray, Lisa M. Coussens, Young Hwan Chang:
Activation vs. Organization: Prognostic Implications of T and B Cell Features of the PDAC Microenvironment. 44-55 - Elvire Roblin
, Paul-Henry Cournède
, Stefan Michiels
:
On the Use of Neural Networks with Censored Time-to-Event Data. 56-67
Mathematical Modeling for Cancer Research
- Iurii S. Nagornov, Jo Nishino, Mamoru Kato:
tugHall: A Tool to Reproduce Darwinian Evolution of Cancer Cells for Simulation-Based Personalized Medicine. 71-76
General Cancer Computational Biology
- Kirill E. Medvedev, Anna V. Savelyeva, Aditya Bagrodia, Nick V. Grishin:
The Potential of Single Cell RNA-Sequencing Data for the Prediction of Gastric Cancer Serum Biomarkers. 79-84
Posters
- Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi:
Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection. 87-101 - Phillip B. Nicol:
Detecting Subclones from Spatially Resolved RNA-Seq Data. 102-107 - Ofek Shami-Schnitzer, Zohar Zafrir, Tamir Tuller:
Novel Driver Synonymous Mutations in the Coding Regions of GCB Lymphoma Patients Improve the Transcription Levels of BCL2. 108-118
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