Literature DB >> 25000992

Basic statistics in cell biology.

David L Vaux1.   

Abstract

The physicist Ernest Rutherford said, "If your experiment needs statistics, you ought to have done a better experiment." Although this aphorism remains true for much of today's research in cell biology, a basic understanding of statistics can be useful to cell biologists to help in monitoring the conduct of their experiments, in interpreting the results, in presenting them in publications, and when critically evaluating research by others. However, training in statistics is often focused on the sophisticated needs of clinical researchers, psychologists, and epidemiologists, whose conclusions depend wholly on statistics, rather than the practical needs of cell biologists, whose experiments often provide evidence that is not statistical in nature. This review describes some of the basic statistical principles that may be of use to experimental biologists, but it does not cover the sophisticated statistics needed for papers that contain evidence of no other kind.

Keywords:  error bar; p-value; replicate; standard deviation; standard error

Mesh:

Year:  2014        PMID: 25000992     DOI: 10.1146/annurev-cellbio-100913-013303

Source DB:  PubMed          Journal:  Annu Rev Cell Dev Biol        ISSN: 1081-0706            Impact factor:   13.827


  8 in total

1.  A little cooperation helps murine cytomegalovirus (MCMV) go a long way: MCMV co-infection rescues a chemokine salivary gland defect.

Authors:  Pranay Dogra; Mindy Miller-Kittrell; Elisabeth Pitt; Joseph W Jackson; Tom Masi; Courtney Copeland; Shuen Wu; William E Miller; Tim Sparer
Journal:  J Gen Virol       Date:  2016-09-13       Impact factor: 3.891

Review 2.  Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis.

Authors:  Carol Chase Huizar; Itay Raphael; Thomas G Forsthuber
Journal:  Cell Immunol       Date:  2020-09-20       Impact factor: 4.868

Review 3.  Tutorial: guidance for quantitative confocal microscopy.

Authors:  James Jonkman; Claire M Brown; Graham D Wright; Kurt I Anderson; Alison J North
Journal:  Nat Protoc       Date:  2020-03-31       Impact factor: 13.491

4.  Modulation of the Activity of Mycobacterium tuberculosis LipY by Its PE Domain.

Authors:  Christopher K Garrett; Lindsey J Broadwell; Cassandra K Hayne; Saskia B Neher
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

5.  Novel heparan sulfate-binding peptides for blocking herpesvirus entry.

Authors:  Pranay Dogra; Emily B Martin; Angela Williams; Raphael L Richardson; James S Foster; Nicole Hackenback; Stephen J Kennel; Tim E Sparer; Jonathan S Wall
Journal:  PLoS One       Date:  2015-05-18       Impact factor: 3.240

Review 6.  Let's get fISSical: fast in silico synchronization as a new tool for cell division cycle analysis.

Authors:  Brooke Morriswood; Markus Engstler
Journal:  Parasitology       Date:  2017-02-07       Impact factor: 3.234

7.  PlotsOfData-A web app for visualizing data together with their summaries.

Authors:  Marten Postma; Joachim Goedhart
Journal:  PLoS Biol       Date:  2019-03-27       Impact factor: 8.029

Review 8.  Parameter Reliability and Understanding Enzyme Function.

Authors:  Andrew G McDonald; Keith F Tipton
Journal:  Molecules       Date:  2022-01-01       Impact factor: 4.411

  8 in total

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