Cargando…
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
BACKGROUND: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically expressed. Such challenge occurs due to the fact that the observed time series usually exhibit non-idealities, such as no...
Autores principales: | Liew, Alan Wee-Chung, Xian, Jun, Wu, Shuanhu, Smith, David, Yan, Hong |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1867827/ https://www.ncbi.nlm.nih.gov/pubmed/17451610 http://dx.doi.org/10.1186/1471-2105-8-137 |
Ejemplares similares
-
Power and sample size estimation in microarray studies
por: Lin, Wei-Jiun, et al.
Publicado: (2010) -
Periodicity Detection Method for Small-Sample Time Series Datasets
por: Tominaga, Daisuke
Publicado: (2010) -
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
por: Jørstad, Tommy S, et al.
Publicado: (2008) -
A Reweighted ℓ(1)-Minimization Based Compressed Sensing for the Spectral Estimation of Heart Rate Variability Using the Unevenly Sampled Data
por: Chen, Szi-Wen, et al.
Publicado: (2014) -
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
por: Jain, Nitin, et al.
Publicado: (2005)