Work

On Statistical Modeling of Sequencing Noise in High Depth Data to Assess Tumor Evolution

Year: 2017

Type: article

Source: Journal of Statistical Physics

DOI: 10.1007/s10955-017-1945-1

Authors: Raul Rabadan, Gyan Bhanot, Sonia Marsilio, Nicholas Chiorazzi, Laura Pasqualucci, Hossein Khiabanian

Institutions: Columbia University, Rutgers, The State University of New Jersey, Northwell Health, Feinstein Institute for Medical Research, Rutgers Cancer Institute

Language: English

Topic: Cancer Genomics and Diagnostics

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: American Cancer Society, National Institutes of Health, Office of Advanced Research Computing, Rutgers, The State University of New Jersey, National Cancer Institute

Awards: Supercomputing: Rutgers' Catalyst for Discovery at the Frontiers of Medicine, (PQB5) Reconstruction of Evolutionary Networks using Cross-Sectional Genomic Data, Identification and modeling of driver genetic modules in glioblastoma, G4797519381, Topology of Cancer Evolution and Heterogeneity, Cancer Center Support Grant

OpenAlex ID: W2780329783

FWCI: 0.275

Cites: 53

Cited by: 11

Related to: 10