survClust
survClust performes supervised clustering by integrating clinical information (Overall Survival, Progression Free Survival etc) along with sequencing data (DNA expression, Mutation, Copy Number, DNA Metthylation, flow cytometry etc.An outcome weighted supervised clustering algorithm, designed to classify patients according to their molecular as well as time-event or end point of interest data.
More details can be founf here
Arshi Arora
Research Biostatistician
New Yorker from Jaipur, India. Cancer Genomics, pottery and biking.