cycHumanBloodData

<p>This data set lists time-series profiles of 10 transcripts
  sampled from  multiple individuals under different sleep conditions.</p>

There are two functions-meta2d and meta3d for
detecting rhythmic signals from time-series datasets. For analyzing
time-series datasets without individual information, 'meta2d' is
suggested, which could incorporates multiple methods from ARSER,
JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For
analyzing time-series datasets with individual information, 'meta3d' is
suggested, which takes use of any one of these three methods to analyze
time-series data individual by individual and gives out integrated values
based on analysis result of each individual.

Gang Wu

MetaCycle

Evaluate Periodicity in Large Scale Data

Ron Anafi

John Hogenesch

Michael Hughes

Karl Kornacker

Xavier Li

Matthew Carlucci

cycHumanBloodData function

<p>A dataframe containing 439 columns (column 1 = transcript name,
  column 2 to 439 = samples from individuals at different time points and
  sleep conditions).</p>

Format

cycHumanBloodData — cycHumanBloodData

cycHumanBloodData: cycHumanBloodData

Description

Usage

Arguments

Format