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Mathematical and Computational Oncology

Overview of attention for book
Cover of 'Mathematical and Computational Oncology'

Table of Contents

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    Book Overview
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    Chapter 1 Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-examinations
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    Chapter 2 Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning
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    Chapter 3 The Role of Hydrophobicity in Peptide-MHC Binding
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    Chapter 4 Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions: An LSTM-Based Approach to Surrogate an Agent-Based Model
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    Chapter 5 Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments
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    Chapter 6 Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model
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    Chapter 7 Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy
Attention for Chapter 4: Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions: An LSTM-Based Approach to Surrogate an Agent-Based Model
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Citations

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Chapter title
Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions: An LSTM-Based Approach to Surrogate an Agent-Based Model
Chapter number 4
Book title
Mathematical and Computational Oncology
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-91241-3_4
Book ISBNs
978-3-03-091240-6, 978-3-03-091241-3
Authors

Bernard, David, Kobanda, Anthony, Cussat-Blanc, Sylvain

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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