I've obtained single-cell NGS data of "non-model" organism (plants) and want to cluster the cells in pseudotime, subsequently to estimate a phase transition along with pseudotime. I need an unsupervised clustering way because there is no marker gene to cluster cell properly in pseudotime.
I learn to know that monocle has some unsupervised clustering methods and got a trajectory using dpFeature, which seemed the most suitable to me. But clusters from density peak clustering don't match with trajectory at all.
Do you have any idea or suggestion to obtain more feasible result in such situation ?
Hi,
I've obtained single-cell NGS data of "non-model" organism (plants) and want to cluster the cells in pseudotime, subsequently to estimate a phase transition along with pseudotime. I need an unsupervised clustering way because there is no marker gene to cluster cell properly in pseudotime.
I learn to know that monocle has some unsupervised clustering methods and got a trajectory using dpFeature, which seemed the most suitable to me. But clusters from density peak clustering don't match with trajectory at all.
Do you have any idea or suggestion to obtain more feasible result in such situation ?
Best