Cargando…
Randomization techniques for assessing the significance of gene periodicity results
BACKGROUND: Modern high-throughput measurement technologies such as DNA microarrays and next generation sequencers produce extensive datasets. With large datasets the emphasis has been moving from traditional statistical tests to new data mining methods that are capable of detecting complex patterns...
Autores principales: | Kallio, Aleksi, Vuokko, Niko, Ojala, Markus, Haiminen, Niina, Mannila, Heikki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199764/ https://www.ncbi.nlm.nih.gov/pubmed/21827656 http://dx.doi.org/10.1186/1471-2105-12-330 |
Ejemplares similares
-
Comparing segmentations by applying randomization techniques
por: Haiminen, Niina, et al.
Publicado: (2007) -
Determining significance of pairwise co-occurrences of events in bursty sequences
por: Haiminen, Niina, et al.
Publicado: (2008) -
iXora: exact haplotype inferencing and trait association
por: Utro, Filippo, et al.
Publicado: (2013) -
Analysis of multiple-period group randomized trials: random coefficients model or repeated measures ANOVA?
por: Moyer, Jonathan C., et al.
Publicado: (2022) -
Assessing pooled BAC and whole genome shotgun strategies for assembly of complex genomes
por: Haiminen, Niina, et al.
Publicado: (2011)