Skip to main content
SpringerLink
Log in
Book cover

Mathematical and Computational Oncology

Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. George Bebis

    1. University of Nevada Reno, Reno, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Max Alekseyev

    1. George Washington University, Ashburn, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Heyrim Cho

    1. University of California, Riverside, Riverside, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Jana Gevertz

    1. The College of New Jersey, Ewing, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Maria Rodriguez Martinez

    1. IBM Research - Zurich, Rüschlikon, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12508)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ISMCO 2020.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  3. Statistical and Machine Learning Methods for Cancer Research

    1. Front Matter

      Pages 11-11
      Download chapter PDF

    2. CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer

      • Cristian Axenie, Daria Kurz
      Pages 13-24

    3. Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer

      • Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal et al.
      Pages 25-31

    4. Discriminative Localized Sparse Representations for Breast Cancer Screening

      • Sokratis Makrogiannis, Chelsea E. Harris, Keni Zheng
      Pages 32-43

    5. Activation vs. Organization: Prognostic Implications of T and B Cell Features of the PDAC Microenvironment

      • Elliot Gray, Shannon Liudahl, Shamilene Sivagnanam, Courtney Betts, Jason Link, Dove Keith et al.
      Pages 44-55

    6. On the Use of Neural Networks with Censored Time-to-Event Data

      • Elvire Roblin, Paul-Henry Cournede, Stefan Michiels
      Pages 56-67

  4. Mathematical Modeling for Cancer Research

    1. Front Matter

      Pages 69-69
      Download chapter PDF

    2. tugHall: A Tool to Reproduce Darwinian Evolution of Cancer Cells for Simulation-Based Personalized Medicine

      • Iurii Nagornov, Jo Nishino, Mamoru Kato
      Pages 71-76

  5. General Cancer Computational Biology

    1. Front Matter

      Pages 77-77
      Download chapter PDF

    2. The Potential of Single Cell RNA-Sequencing Data for the Prediction of Gastric Cancer Serum Biomarkers

      • Kirill E. Medvedev, Anna V. Savelyeva, Aditya Bagrodia, Nick V. Grishin
      Pages 79-84

  6. Posters

    1. Front Matter

      Pages 85-85
      Download chapter PDF

    2. Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection

      • Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi
      Pages 87-101

    3. Detecting Subclones from Spatially Resolved RNA-Seq Data

      • Phillip B. Nicol
      Pages 102-107

    4. Novel Driver Synonymous Mutations in the Coding Regions of GCB Lymphoma Patients Improve the Transcription Levels of BCL2

      • Ofek Shami-Schnitzer, Zohar Zafir, Tamir Tuller
      Pages 108-118

  7. Back Matter

    Pages 119-119
    Download chapter PDF
Back to top

Other volumes

  1. Mathematical and Computational Oncology

Keywords

About this book

This book constitutes the refereed proceedings of the Second International Symposium on Mathematical and Computational Oncology, ISMCO 2020, which was supposed to be held in San Diego, CA, USA, in October 2020, but was instead held virtually due to the COVID-19 pandemic.

The 6 full papers and 4 short papers presented together with 1 invited talk were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; general cancer computational biology; and posters.

Editors and Affiliations

  • University of Nevada Reno, Reno, USA

    George Bebis

  • George Washington University, Ashburn, USA

    Max Alekseyev

  • University of California, Riverside, Riverside, USA

    Heyrim Cho

  • The College of New Jersey, Ewing, USA

    Jana Gevertz

  • IBM Research - Zurich, Rüschlikon, Switzerland

    Maria Rodriguez Martinez

Bibliographic Information

  • Book Title: Mathematical and Computational Oncology

  • Book Subtitle: Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings

  • Editors: George Bebis, Max Alekseyev, Heyrim Cho, Jana Gevertz, Maria Rodriguez Martinez

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-64511-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-64510-6Published: 03 December 2020

  • eBook ISBN: 978-3-030-64511-3Published: 07 December 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 119

  • Number of Illustrations: 9 b/w illustrations, 25 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Computational Biology/Bioinformatics

Publish with us

Policies and ethics

Back to top

Search

Navigation