# Count data

## Papers overview

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Highly Cited

2014

Highly Cited

2014

- PLoS Computational Biology
- 2014

Current practice in the normalization of microbiome count data is inefficient in the statistical sense. For apparently historicalâ€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- Bioinformatics
- 2012

MOTIVATION
Exome sequencing has proven to be an effective tool to discover the genetic basis of Mendelian disorders. It is wellâ€¦Â (More)

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2011

2011

- International Encyclopedia of Statistical Science
- 2011

Count models are a subset of discrete response regression models. Count data are distributed as non-negative integers, areâ€¦Â (More)

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Highly Cited

2011

Highly Cited

2011

- BMC Bioinformatics
- 2011

RNA sequencing is a flexible and powerful new approach for measuring gene, exon, or isoform expression. To maximize the utilityâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- BMC Bioinformatics
- 2010

High throughput sequencing has become an important technology for studying expression levels in many types of genomic, andâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Bioinformatics
- 2010

SUMMARY
It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the nearâ€¦Â (More)

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Review

2008

Review

2008

- 2008

The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalizedâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- 2007

ing ecological complexity by identifying key biological processes, and the factors that affect them, is important when solvingâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- 1999

Poisson regression models provide a standard framework for the analysis of count data. In practice, however, count data are oftenâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- 1998

We study Bayesian models and methods for analysing network tra c counts in problems of inference about the tra c intensityâ€¦Â (More)

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