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Amin Emad
Amin Emad
Assistant Professor, McGill University and Mila (Quebec AI Institute)
Verified email at mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Semiquantitative group testing
A Emad, O Milenkovic
IEEE Transactions on Information Theory 60 (8), 4614-4636, 2014
372014
A new correlation clustering method for cancer mutation analysis
JP Hou, A Emad, GJ Puleo, J Ma, O Milenkovic
Bioinformatics 32 (24), 3717-3728, 2016
352016
A closer look at cross-validation for assessing the accuracy of gene regulatory networks and models
S Tabe-Bordbar, A Emad, SD Zhao, S Sinha
Scientific reports 8 (1), 1-11, 2018
342018
Learning interpretable classification rules with boolean compressed sensing
DM Malioutov, KR Varshney, A Emad, S Dash
Transparent Data Mining for Big and Small Data, 95-121, 2017
312017
Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance
A Emad, J Cairns, KR Kalari, L Wang, S Sinha
Genome biology 18 (1), 1-21, 2017
292017
Poisson group testing: A probabilistic model for nonadaptive streaming boolean compressed sensing
A Emad, O Milenkovic
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
272014
Knowledge-guided analysis of" omics" data using the KnowEnG cloud platform
C Blatti III, A Emad, MJ Berry, L Gatzke, M Epstein, D Lanier, P Rizal, J Ge, ...
PLoS biology 18 (1), e3000583, 2020
232020
Tissue-guided LASSO for prediction of clinical drug response using preclinical samples
EW Huang, A Bhope, J Lim, S Sinha, A Emad
PLoS computational biology 16 (1), e1007607, 2020
212020
CaSPIAN: a causal compressive sensing algorithm for discovering directed interactions in gene networks
A Emad, O Milenkovic
PloS one 9 (3), e90781, 2014
202014
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19
J Ding, DE Hostallero, MR El Khili, GJ Fonseca, S Milette, N Noorah, ...
PLoS Computational Biology 17 (3), e1008810, 2021
142021
A semiquantitative group testing approach for learning interpretable clinical prediction rules
A Emad, KR Varshney, DM Malioutov
Proc. Signal Process. Adapt. Sparse Struct. Repr. Workshop, Cambridge, UK, 2015
132015
Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature
A Emad, T Ray, TW Jensen, M Parat, R Natrajan, S Sinha, PS Ray
Breast Cancer Research 22 (1), 1-13, 2020
122020
Symmetric group testing and superimposed codes
A Emad, J Shen, O Milenkovic
2011 IEEE Information Theory Workshop, 20-24, 2011
102011
Poisson group testing: A probabilistic model for Boolean compressed sensing
A Emad, O Milenkovic
IEEE Transactions on Signal Processing 63 (16), 4396-4410, 2015
82015
Performance of an AFC loop in the presence of a single interferer in a fading channel
A Emad, NC Beaulieu
IEEE transactions on communications 58 (12), 3386-3391, 2010
82010
Code construction and decoding algorithms for semi-quantitative group testing with nonuniform thresholds
A Emad, O Milenkovic
IEEE Transactions on Information Theory 62 (4), 1674-1687, 2016
62016
Causal compressive sensing for gene network inference
M Deng, A Emad, O Milenkovic
2012 IEEE Statistical Signal Processing Workshop (SSP), 696-699, 2012
62012
On the performance of an automatic frequency control loop in dissimilar fading channels in the presence of interference
A Emad, NC Beaulieu
IEEE transactions on communications 59 (12), 3234-3239, 2011
62011
Lower bounds to the performance of bit synchronization for bandwidth efficient pulse-shaping
A Emad, NC Beaulieu
IEEE transactions on communications 58 (10), 2789-2794, 2010
62010
From gene expression to drug response: A collaborative filtering approach
C Qian, ND Sidiropoulos, M Amiridi, A Emad
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
52019
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Articles 1–20