Mathematical and Computational Oncology (Record no. 176892)

MARC details
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001 - CONTROL NUMBER
control field 978-3-030-64511-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125335.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030645113
-- 978-3-030-64511-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-64511-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Mathematical and Computational Oncology
Medium [electronic resource] :
Remainder of title Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings /
Statement of responsibility, etc edited by George Bebis, Max Alekseyev, Heyrim Cho, Jana Gevertz, Maria Rodriguez Martinez.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 119 p. 34 illus., 25 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Bioinformatics,
International Standard Serial Number 2366-6331 ;
Volume number/sequential designation 12508
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational and Systems Biology.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bebis, George.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Alekseyev, Max.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cho, Heyrim.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gevertz, Jana.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rodriguez Martinez, Maria.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030645106
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030645120
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Bioinformatics,
-- 2366-6331 ;
Volume number/sequential designation 12508
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-64511-3">https://doi.org/10.1007/978-3-030-64511-3</a>
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Koha item type eBooks-CSE-Springer

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