9 citations · 11 across the 6 of their papers we have counts for
6 papers
High Dimensional Mode Hunting Using Pettiest Components Analysis
Tianhao Liu, Daniel Andrés Díaz-Pachón, J. Sunil Rao +1
Principal components analysis has been used to reduce the dimensionality of datasets for a long time. In this paper, we will demonstrate that in mode detection the components of sm…
Mode hunting through active information
Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao +1
We propose a new method to find modes based on active information. We develop an algorithm that, when applied to the whole space, will say whether there are any modes present \text…
Cross-validation and Peeling Strategies for Survival Bump Hunting using Recursive Peeling Methods
Jean-Eudes Dazard, Michael Choe, Michael LeBlanc +1
We introduce a framework to build a survival/risk bump hunting model with a censored time-to-event response. Our Survival Bump Hunting (SBH) method is based on a recursive peeling…
Unsupervised Bump Hunting Using Principal Components
Daniel A Díaz-Pachón, Jean-Eudes Dazard, J. Sunil Rao
Principal Components Analysis is a widely used technique for dimension reduction and characterization of variability in multivariate populations. Our interest lies in studying when…
On the explanatory power of principal components
Daniel A. Diaz-Pachon, J. Sunil Rao, Jean-Eudes Dazard
We show that if we have an orthogonal base () in a -dimensional vector space, and select vectors and such that the vectors traverse t…
Design Principle of Gene Expression Used by Human Stem Cells; Implication for Pluripotency
Michal Golan-Mashiach, Jean-Eudes Dazard, Sharon Gerecht-Nir +12
Human embryonic stem cells (ESC) are undifferentiated and are endowed with the capacities of self renewal and pluripotential differentiation. Adult stem cells renew their own tissu…