The AstroStat Slog » Lomb-Scargle periodogram http://hea-www.harvard.edu/AstroStat/slog Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders Fri, 09 Sep 2011 17:05:33 +0000 en-US hourly 1 http://wordpress.org/?v=3.4 Lomb-Scargle periodograms in bioinformatics http://hea-www.harvard.edu/AstroStat/slog/2008/lomb-scargle-periodograms-in-bioinformatics/ http://hea-www.harvard.edu/AstroStat/slog/2008/lomb-scargle-periodograms-in-bioinformatics/#comments Fri, 18 Apr 2008 00:39:36 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=273 conclusion of Detecting periodic patterns in unevenly spaced gene expression time series using Lomb–Scargle periodograms by Glynn, Chen, & Mushegian :
The Lomb-Scargle periodogram algorithm is an effective tool for finding periodic gene expression profiles in microarray data, especially when data may be collected at arbitrary time points or when a significant proportion of data is missing.
]]> A statistical method developed by insightful and brilliant astronomers is used in bioinformatics:
Detecting periodic patterns in unevenly spaced gene expression time series using Lomb–Scargle periodograms
by Glynn, Chen, & Mushegian [Click for R code and relevant information] [Paper archive at Bioinformatics]

The conclusion clearly indicates the winning points of the Lomb-Scargle periodograms.

The Lomb-Scargle periodogram algorithm is an effective tool for finding periodic gene expression profiles in microarray data, especially when data may be collected at arbitrary time points or when a significant proportion of data is missing.

My personal wish is that data driven statistical methods by hands on scientists (and their statistical collaborators) are to be used in other disciplines because I believe data sets are likely to share the unknown truth of our one universe.

]]> http://hea-www.harvard.edu/AstroStat/slog/2008/lomb-scargle-periodograms-in-bioinformatics/feed/ 0 [ArXiv]4th week, Mar. 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv4th-week-mar-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv4th-week-mar-2008/#comments Sun, 30 Mar 2008 23:51:42 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv4th-week-mar-2008/ The numbers of astro-ph preprints on average have been decreased so as my hours of reading abstracts…. cool!!! By the way, there is a paper about solar cycle, PCA, ICA, and Lomb-Scargle periodogram.

  • [astro-ph:0803.3154]B. G. Elmegreen
    The Stellar Initial Mass Function in 2007: A Year for Discovering Variations

  • [astro-ph:0803.3260]J.K. Lawrence, A.C. Cadavid & A. Ruzmaikin
    Rotational quasi periodicities and the Sun – heliosphere connection (I wish arxiv provides keywords. My keywords to this preprint are solar cycle, Lomb-Scargle periodogram, PCA, ICA, all interesting to CHASC folks. Particularly, I felt some similarity to one of stat310 talks about Gravity Probe B)

  • [astro-ph:0803.3775] L. Samushia, & B. Ratra
    Constraints on Dark Energy from Galaxy Cluster Gas Mass Fraction versus Redshift data (another example of Monte Carlo Markov Chain, not Markov chain Monte Carlo in the abstract but MCMC is not their research focus)
]]> http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv4th-week-mar-2008/feed/ 0 [ArXiv] 1st week, Jan. 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-jan-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-jan-2008/#comments Fri, 04 Jan 2008 16:49:57 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-jan-2008/ It’s a rather short list, this week and I hope I can maintain this conciseness afterwards. Happy new year to everyone.

  • [astro-ph:0801.0336] Astronomical Image Subtraction by Cross-Convolution F. Yuan & C. W. Akerlof
  • [math.TH:0801.0158] Frequency estimation based on the cumulated Lomb-Scargle periodogram C. L\’evy-Leduc, E. Moulines, & F. Roueff
  • [astro-ph:0801.0451] A cgi synthetic CMD calculator for the YY Isochrones P. Demarque et. al.
  • [astro-ph:0801.0554] Likelihood Analysis of CMB Temperature and Polarization Power Spectra S. Hamimeche & A. Lewis
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