23 citations · 40 across the 11 of their papers we have counts for
12 papers
REP: Predicting the Time-Course of Drug Sensitivity
Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos
The biological processes involved in a drug's mechanisms of action are oftentimes dynamic, complex and difficult to discern. Time-course gene expression data is a rich source of in…
From Gene Expression to Drug Response: A Collaborative Filtering Approach
Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi +1
Predicting the response of cancer cells to drugs is an important problem in pharmacogenomics. Recent efforts in generation of large scale datasets profiling gene expression and dru…
A new correlation clustering method for cancer mutation analysis
Jack P. Hou, Amin Emad, Gregory J. Puleo +2
Cancer genomes exhibit a large number of different alterations that affect many genes in a diverse manner. It is widely believed that these alterations follow combinatorial pattern…
Poisson Group Testing: A Probabilistic Model for Boolean Compressed Sensing
Amin Emad, Olgica Milenkovic
We introduce a novel probabilistic group testing framework, termed Poisson group testing, in which the number of defectives follows a right-truncated Poisson distribution. The Pois…
Code Construction and Decoding Algorithms for Semi-Quantitative Group Testing with Nonuniform Thresholds
Amin Emad, Olgica Milenkovic
We analyze a new group testing scheme, termed semi-quantitative group testing, which may be viewed as a concatenation of an adder channel and a discrete quantizer. Our focus is on…
MetaPar: Metagenomic Sequence Assembly via Iterative Reclassification
Minji Kim, Jonathan G. Ligo, Amin Emad +3
We introduce a parallel algorithmic architecture for metagenomic sequence assembly, termed MetaPar, which allows for significant reductions in assembly time and consequently enable…