Evidence map›Paper›PMID 22925599›Full record

ArticleBio Systems2012

BaSAR-A tool in R for frequency detection.

Emma Granqvist, Matthew Hartley, Richard J Morris

Abstract read
In one paragraph

Article in Bio Systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Impact of Negative Feedbacks on De Novo Pyrimidines Biosynthesis inInternational journal of molecular sciences · 2023
    Article
  3. Article
  4. Quantitative approaches in clinical reproductive endocrinology.Current opinion in endocrine and metabolic research · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Towards the Physics of Calcium Signalling in Plants.Plants (Basel, Switzerland) · 2013
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Emma GranqvistDepartment of Computational & Systems Biology, The John Innes Centre, Norwich Research Park, Norwich, UK. emma.granqvist@jic.ac.uk
Matthew Hartley
Richard J Morris

Funding

Biotechnology and Biological Sciences Research Council BBS/E/J/00000611
6 · The paper itself

Abstract

Many biological processes are periodic, for example cell cycle expression, circadian rhythms and calcium oscillations. However, measured time series from these processes are commonly short and noisy, and finding frequencies in such data can be challenging. Here we present BaSAR, Bayesian Spectrum Analysis in R, a package for extracting frequency information from time series data. The software uses advanced techniques of Bayesian inference that are well suited for handling typical biological data. The core functions are designed for detecting a single key frequency, without the need for data pre-processing such as detrending. The package is freely available at CRAN - The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/BaSAR.

Indexed as

Bayes TheoremSoftwarePeriodicityStatistics as Topic

Identifiers

PMID22925599
PMCPMC3462997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.