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ORCID2nd 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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