34 citations · 169 across the 21 of their papers we have counts for
5 papers · 1 filter
Determining clinically relevant features in cytometry data using persistent homology
Soham Mukherjee, Darren Wethington, Tamal K. Dey +1
Cytometry experiments yield high-dimensional point cloud data that is difficult to interpret manually. Boolean gating techniques coupled with comparisons of relative abundances of…
Connecting the dots across time: Reconstruction of single cell signaling trajectories using time-stamped data
Sayak Mukherjee, David Stewart, William Stewart +2
Single cell responses are shaped by the geometry of signaling kinetic trajectories carved in a multidimensional space spanned by signaling protein abundances. It is however challen…
Maximum Entropy estimation of probability distribution of variables in higher dimensions from lower dimensional data
Jayajit Das, Sayak Mukherjee, Susan E. Hodge
A common statistical situation concerns inferring an unknown distribution Q(x) from a known distribution P(y), where X (dimension n), and Y (dimension m) have a known functional re…
Data-driven quantification of robustness and sensitivity of cell signaling networks
Sayak Mukherjee, Sang-Cheol Seok, Veronica J. Vieland +1
Robustness and sensitivity of responses generated by cell signaling networks has been associated with survival and evolvability of organisms. However, existing methods analyzing ro…
Dramatic reduction of dimensionality in large biochemical networks due to strong pair correlations
Michael Dworkin, Sayak Mukherjee, Ciriyam Jayaprakash +1
Large multidimensionality of high-throughput datasets pertaining to cell signaling and gene regulation renders it difficult to extract mechanisms underlying the complex kinetics in…