Quantitative models for the inference of intratumor heterogeneity-Reference-Cited by-同舟云学术

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Quantitative models for the inference of intratumor heterogeneity

Published:2022-06 Issue:2 Volume:2 Page:
ISSN:2689-9655
Container-title:Computational and Systems Oncology
language:en
Short-container-title:Comp Sys Onco

Author:

van den Bosch Tom¹²^ORCID,Vermeulen Louis¹²^ORCID,Miedema Daniël M.¹²^ORCID

Affiliation:

1. Laboratory for Experimental Oncology and Radiobiology Center for Experimental and Molecular Medicine Cancer Center Amsterdam and Amsterdam Gastroenterology and Metabolism Amsterdam University Medical Centers Amsterdam The Netherlands

2. Oncode Institute Amsterdam The Netherlands

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cso2.1034

Reference117 articles.

1. Geospatial immune variability illuminates differential evolution of lung adenocarcinoma

2. Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data

3. Inference of Tumor Evolution during Chemotherapy by Computational Modeling and In Situ Analysis of Genetic and Phenotypic Cellular Diversity

4. Pan-cancer analysis of the extent and consequences of intratumor heterogeneity

5. EXPANDS: expanding ploidy and allele frequency on nested subpopulations

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1. Beyond basics: Key mutation selection features for successful tumor‐informed ctDNA detection;International Journal of Cancer;2024-04-16

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