8 citations · 15 across the 6 of their papers we have counts for
6 papers
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
Subhadip Pal, Subhajit Sengupta, Riten Mitra +1
Directional data emerges in a wide array of applications, ranging from atmospheric sciences to medical imaging. Modeling such data, however, poses unique challenges by virtue of th…
A Bayesian Mixture Model for Clustering on the Stiefel Manifold
Subhajit Sengupta, Subhadip Pal, Riten Mitra +3
Analysis of a Bayesian mixture model for the Matrix Langevin distribution on the Stiefel manifold is presented. The model exploits a particular parametrization of the Matrix Langev…
TreeClone: Reconstruction of Tumor Subclone Phylogeny Based on Mutation Pairs using Next Generation Sequencing Data
Tianjian Zhou, Subhajit Sengupta, Peter Mueller +1
We present TreeClone, a latent feature allocation model to reconstruct tumor subclones subject to phylogenetic evolution that mimics tumor evolution. Similar to most current method…
PairClone: A Bayesian Subclone Caller Based on Mutation Pairs
Tianjian Zhou, Peter Mueller, Subhajit Sengupta +1
Tumor cell populations can be thought of as being composed of homogeneous cell subpopulations, with each subpopulation being characterized by overlapping sets of single nucleotide…
Sensitivity Analysis for additive STDP rule
Subhajit Sengupta, Karthik S. Gurumoorthy, Arunava Banerjee
Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic learning rule. The basis of STDP has strong experimental evidences and it depends on precise input and output sp…
Bayesian Inference for Tumor Subclones Accounting for Sequencing and Structural Variants
Juhee Lee, Peter Mueller, Subhajit Sengupta +2
Tumor samples are heterogeneous. They consist of different subclones that are characterized by differences in DNA nucleotide sequences and copy numbers on multiple loci. Heterogene…