Becoming data-savvy in a big-data world

Xu, Meng; Rhee, Seung Yon

doi:10.1016/j.tplants.2014.08.003

Title: Becoming data-savvy in a big-data world

Authors:: Xu, Meng; Rhee, Seung Yon

Publication Date:: Wed Oct 01 00:00:00 EDT 2014

Sponsoring Org.:: USDOE

OSTI Identifier:: 1222409

Grant/Contract Number:: BER-65472

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Trends in Plant Science

Additional Journal Information:: Journal Name: Trends in Plant Science Journal Volume: 19 Journal Issue: 10; Journal ID: ISSN 1360-1385

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Xu, Meng, and Rhee, Seung Yon. Becoming data-savvy in a big-data world.  United Kingdom: N. p., 2014. 
Web.  doi:10.1016/j.tplants.2014.08.003.

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                    Xu, Meng, & Rhee, Seung Yon. Becoming data-savvy in a big-data world.  United Kingdom.  https://doi.org/10.1016/j.tplants.2014.08.003

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                    Xu, Meng, and Rhee, Seung Yon. Wed .  
"Becoming data-savvy in a big-data world".  United Kingdom.  https://doi.org/10.1016/j.tplants.2014.08.003.

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@article{osti_1222409,

  title        = {Becoming data-savvy in a big-data world},

  author       = {Xu, Meng and Rhee, Seung Yon},

  abstractNote = {},

  doi          = {10.1016/j.tplants.2014.08.003},

  journal      = {Trends in Plant Science},

  number       = 10,

  volume       = 19,

  place        = {United Kingdom},

  year         = {Wed Oct 01 00:00:00 EDT 2014},

  month        = {Wed Oct 01 00:00:00 EDT 2014}

}

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https://doi.org/10.1016/j.tplants.2014.08.003

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Works referenced in this record:

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Similar Records

Title: Becoming data-savvy in a big-data world

Citation Formats

The Importance of the Normality Assumption in Large Public Health Data Sets journal, May 2002

Scientific method: Statistical errors journal, February 2014

Statistical significance for genomewide studies journal, July 2003

Finding consistent patterns: A nonparametric approach for identifying differential expression in RNA-Seq data journal, November 2011

Revised standards for statistical evidence journal, November 2013

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments journal, February 2010

RNA-Seq: revelation of the messengers journal, April 2013

Differential expression analysis for sequence count data journal, October 2010

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists journal, November 2008

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data journal, November 2009

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor journal, August 2013

A comparison of methods for differential expression analysis of RNA-seq data journal, March 2013

The Importance of the Normality Assumption in Large Public Health Data Sets
journal, May 2002

Scientific method: Statistical errors
journal, February 2014

Statistical significance for genomewide studies
journal, July 2003

Finding consistent patterns: A nonparametric approach for identifying differential expression in RNA-Seq data
journal, November 2011

Revised standards for statistical evidence
journal, November 2013

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
journal, February 2010

RNA-Seq: revelation of the messengers
journal, April 2013

Differential expression analysis for sequence count data
journal, October 2010

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
journal, November 2008

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
journal, November 2009

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
journal, August 2013

A comparison of methods for differential expression analysis of RNA-seq data
journal, March 2013