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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
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), 6620, 2018
542018
Semiquantitative group testing
A Emad, O Milenkovic
IEEE Transactions on Information Theory 60 (8), 4614-4636, 2014
462014
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
452017
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
382020
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
372016
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, 1-21, 2017
362017
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
352020
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
312014
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
242021
CaSPIAN: a causal compressive sensing algorithm for discovering directed interactions in gene networks
A Emad, O Milenkovic
PloS one 9 (3), e90781, 2014
242014
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, 1-13, 2020
202020
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
152015
RAPPPID: towards generalizable protein interaction prediction with AWD-LSTM twin networks
J Szymborski, A Emad
Bioinformatics 38 (16), 3958-3967, 2022
132022
Looking at the BiG picture: incorporating bipartite graphs in drug response prediction
DE Hostallero, Y Li, A Emad
Bioinformatics 38 (14), 3609-3620, 2022
112022
Symmetric group testing and superimposed codes
A Emad, J Shen, O Milenkovic
2011 IEEE Information Theory Workshop, 20-24, 2011
102011
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study
A Emad, S Sinha
NPJ systems biology and applications 7 (1), 9, 2021
92021
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
82016
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
MARSY: a multitask deep-learning framework for prediction of drug combination synergy scores
MR El Khili, SA Memon, A Emad
Bioinformatics 39 (4), btad177, 2023
72023
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