Cargando…
BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data
BACKGROUND: The ability to monitor changes in expression patterns over time, and to observe the emergence of coherent temporal responses using expression time series, is critical to advance our understanding of complex biological processes. Biclustering has been recognized as an effective method for...
Autores principales: | Gonçalves, Joana P, Madeira, Sara C, Oliveira, Arlindo L |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720980/ https://www.ncbi.nlm.nih.gov/pubmed/19583847 http://dx.doi.org/10.1186/1756-0500-2-124 |
Ejemplares similares
-
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series
por: Madeira, Sara C, et al.
Publicado: (2009) -
Biclustering fMRI time series: a comparative study
por: Castanho, Eduardo N., et al.
Publicado: (2022) -
TuBA: Tunable biclustering algorithm reveals clinically relevant tumor transcriptional profiles in breast cancer
por: Singh, Amartya, et al.
Publicado: (2019) -
BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge
por: Henriques, Rui, et al.
Publicado: (2016) -
Bioportainer Workbench: a versatile and user-friendly system that integrates implementation, management, and use of bioinformatics resources in Docker environments
por: Menegidio, Fabiano B, et al.
Publicado: (2019)