Article

Gibbs Process Determines Survival and Reveals Contact-Inhibition Genes in Glioblastoma Multiforme

2019-04-12

Abstract excerpt

Tumor growth is a spatiotemporal birth-and-death process with loss of heterotypic contact-inhibition of locomotion (CIL) of tumor cells promoting invasion and metastasis. Therefore, representing tumor cells as two-dimensional points, we can expect the tumor tissues in histology slides to reflect realizations of spatial birth-and-death process which can be mathematically modeled to reveal molecular mechanisms of CI...

Topics

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

Identifiers and source

Literature Corpus work: 116a8042-8138-5409-a2a0-f5448bdfc664
DOI: 10.1101/608414

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Gibbs Process Determines Survival and Reveals Contact-Inhibition Genes in Glioblastoma MultiformeDOI 10.1101/608414Read

From Single-Cell Emergent Behaviors to Clinical Outcome: PTEN-driven Migratory Efficiency as a Potential New Vulnerability in GlioblastomaSemantic proximity Read

Unveiling dynamics behind Glioblastoma Multiforme single-cell data heterogeneitySemantic proximity Read

TOGGLE Unveils Functional Heterogeneity and Epigenetic Memory in Single CellsSemantic proximity Read

spARC recovers human glioma spatial signaling networks with graph filteringSemantic proximity Read

Reconstructing the Single-Cell Spatiotemporal Dynamics of Glioblastoma InvasionSemantic proximity Read

Reconstructing the Single-Cell Spatiotemporal Dynamics of Glioblastoma InvasionSemantic proximity Read

Integrating in vitro experiments with in silico approaches for Glioblastoma invasion: the role of cell-to-cell adhesion heterogeneitySemantic proximity Read

The Role of Biopsy Position and Tumor-Associated Macrophages for Predictions on Recurrence of Malignant Gliomas: An In Silico StudySemantic proximity Read

Using spatial statistics to infer game-theoretic interactions in an agent-based model of cancer cellsSemantic proximity Read

Time-lapse phenotyping of invasive glioma cells ex vivo reveals subtype-specific movement patterns guided by tumor core signaling.Semantic proximity Read

scVI- and RNA Velocity–Integrated Fate Dynamics Reveal Latent Stability Architecture Underlying Melanoma Therapy ResistanceSemantic proximity Read

Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapiesSemantic proximity Read