Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Mathematical and Computational Oncology -

Mathematical and Computational Oncology

Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings
Buch | Softcover
XXII, 119 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-64510-6 (ISBN)
CHF 74,85 inkl. MwSt
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.

Invited.- Plasticity in cancer cell populations: biology, mathematics and philosophy of cancer.- Statistical and Machine Learning Methods for Cancer Research.- CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer.- Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer.- Discriminative Localized Sparse Representations for Breast Cancer Screening.- Activation vs. Organization: Prognostic Implications of T and B cell Features of the PDAC Microenvironment.- On the use of neural networks with censored time-to-event data.- Mathematical Modeling for Cancer Research.- tugHall: a tool to reproduce Darwinian evolution of cancer cells for simulation-based personalized medicine.- General Cancer Computational Biology.- The potential of single cell RNA-sequencing data for the prediction of gastric cancer serum biomarkers.- Poster.- Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection.- Detecting subclones from spatially resolved RNA-seq data.- Novel driver synonymous mutations in the coding regions of GCB lymphoma patients improve the transcription levels of BCL2.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Bioinformatics
Lecture Notes in Computer Science
Zusatzinfo XXII, 119 p. 34 illus., 25 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 232 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Bioinformatik
Schlagworte Applications • Artificial Intelligence • Bioinformatics • computational methods for anticancer drug development • Computer Science • computer vision • conference proceedings • Genetic algorithms • Image Analysis • Image Processing • image processing for cancer research • Informatics • machine learning • Network Protocols • Research • Signal Processing • Signal to Noise Ratio • Telecommunication Systems • wireless telecommunication systems
ISBN-10 3-030-64510-X / 303064510X
ISBN-13 978-3-030-64510-6 / 9783030645106
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
alles zum Drucken, Scannen, Modellieren

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2024)
Markt + Technik Verlag
CHF 34,90
Einstieg und Praxis

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2023)
Markt + Technik (Verlag)
CHF 27,90