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Molecular biology / Protein methods / Gene expression / RNA / Categorical data / Chip-sequencing / RNA-Seq / Count data / Poisson distribution / Biology / Statistics / Biochemistry


Universal Count Correction for High-Throughput Sequencing Tatsunori B. Hashimoto, Matthew D. Edwards, David K. Gifford* Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Camb
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Document Date: 2014-05-21 15:08:18

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City

Cambridge / Covariate / /

Company

Creative Commons / ProjQ / Cold Spring Harbor Laboratory / Intel / Artificial Intelligence Laboratory / /

/

Facility

Heinrich Heine University / Qatar Computing Research Institute / Massachusetts Institute of Technology / DNA library / /

IndustryTerm

projection operator / inference algorithm / concave regression algorithm / inference algorithms / domain-specific tools / chemical treatment / downstream processing algorithms / assayspecific normalization tools / /

Organization

National Institute of Health / National Science Foundation / Heinrich Heine University / Massachusetts Institute of Technology / Qatar Computing Research Institute / /

Person

B. Hashimoto / Matthew D. Edwards / David K. Gifford / /

Position

Author / original author / Editor / /

Product

DNase / DEseq / /

ProvinceOrState

Massachusetts / /

PublishedMedium

PLOS Computational Biology / /

Technology

inference algorithms / analysis algorithm / concave regression algorithm / DNA Chip / gene expression / DNA sequencing / inference algorithm / downstream processing algorithms / DNA binding / PDF / /

URL

www.ploscompbiol.org / http /

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