Article

Integration of transcriptomics data into agent-based models of solid tumor metastasis

2023-01-10

Abstract excerpt

Most of the recent progress in our understanding of cancer relies in the systematic profiling of patient samples with high throughput techniques like transcriptomics. This approach has helped in finding gene signatures and networks underlying cancer aggressiveness and therapy resistance. However, -omics data alone is not sufficient to generate insights into the spatiotemporal aspects of tumor progression. Here, mu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9470e375-4045-5240-a66f-0dbf8e771b6a
DOI: 10.1101/2023.01.09.523238

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integration of transcriptomics data into agent-based models of solid tumor metastasisDOI 10.1101/2023.01.09.523238Read

Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancersSemantic proximity Read

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancerSemantic proximity Read

Computational Model of Heterogeneity in Melanoma: Designing Therapies and Predicting OutcomesSemantic proximity Read

Perturbation biology links temporal protein changes to drug responses in a melanoma cell lineSemantic proximity Read

Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis.Semantic proximity Read

Gene expression based inference of drug resistance in cancerSemantic proximity Read

Proteogenomics analysis to identify acquired resistance-specific alterations in melanoma PDXs on MAPKi therapySemantic proximity Read

Systems biology analysis of mitogen activated protein kinase inhibitor resistance in malignant melanomaSemantic proximity Read

Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistanceSemantic proximity Read

Dissecting targeted therapy resistance: Integrating models to quantify environment mediated drug resistanceSemantic proximity Read

Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistanceSemantic proximity Read

Immunotherapy drug target identification using machine learning and patient-derived tumour explant validationSemantic proximity Read