Cargando…
Fitting Gaussian mixture models on incomplete data
BACKGROUND: Bioinformatics investigators often gain insights by combining information across multiple and disparate data sets. Merging data from multiple sources frequently results in data sets that are incomplete or contain missing values. Although missing data are ubiquitous, existing implementati...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158227/ https://www.ncbi.nlm.nih.gov/pubmed/35650523 http://dx.doi.org/10.1186/s12859-022-04740-9 |