Examining the co-expression, transcriptome clustering and variation using fuzzy cluster network of testicular stem cells and pluripotent stem cells compared with other cell types.
Praveen Kumar GuttulaMukesh Kumar GuptaPublished in: Comput. Biol. Chem. (2020)
Keyphrases
- grid cells
- clustering algorithm
- microscope images
- cluster analysis
- fluorescence microscopy images
- data clustering
- microscopy images
- clustering method
- stem cell
- living cells
- hierarchical clustering
- densely packed
- fuzzy clustering
- k means
- cluster validity
- signal transduction pathways
- cell segmentation
- inter cell
- cell division
- overlapping clusters
- document clustering
- fuzzy logic
- possibilistic clustering
- intra cluster
- fuzzy sets
- data points
- manufacturing cell
- membership functions
- spectral clustering
- multiple types
- clustering analysis
- inter cluster
- clustering framework
- cell nuclei
- live cell imaging
- neural network
- histopathological images
- cell nucleus
- white blood cells
- cell lines
- cancer cells
- heterogeneous information networks
- unsupervised clustering