Translocation detection from Hi‐C data via scan statistics-Reference-Cited by-同舟云学术

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Translocation detection from Hi‐C data via scan statistics

Published:2022-08-10 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Cheng Anthony¹²³,Mao Disheng⁴,Zhang Yuping⁴^ORCID,Glaz Joseph⁴,Ouyang Zhengqing¹^ORCID

Affiliation:

1. Department of Biostatistics and Epidemiology School of Public Health and Health Sciences University of Massachusetts Amherst Massachusetts USA

2. Department of Genetics and Genome Sciences University of Connecticut Farmington Connecticut USA

3. The Jackson Laboratory for Genomic Medicine Farmington Connecticut USA

4. Department of Statistics University of Connecticut Storrs Connecticut USA

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13724

Reference36 articles.

1. Teoria statistica delle classi e calcolo delle probabilita;Bonferroni C.;Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commericiali di Firenze,1936

2. Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions

3. Identification of copy number variations and translocations in cancer cells from hi‐c data;Chakraborty A.;Bioinformatics,2017

4. Scan statistics with weighted observations;Chan H.P.;Journal of the American Statistical Association,2007

5. Topological domains in mammalian genomes identified by analysis of chromatin interactions

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