George Michailidis
George Michailidis
Professor of Statistics and EECS
Verified email at umich.edu
TitleCited byYear
Gene expression in ovarian cancer reflects both morphology and biological behavior, distinguishing clear cell from other poor-prognosis ovarian carcinomas
DR Schwartz, SLR Kardia, KA Shedden, R Kuick, G Michailidis, ...
Cancer research 62 (16), 4722-4729, 2002
4442002
Differential protein expression profiling by iTRAQ− 2DLC− MS/MS of lung Cancer cells undergoing epithelial-mesenchymal transition reveals a migratory/invasive phenotype
VG Keshamouni, G Michailidis, CS Grasso, S Anthwal, JR Strahler, ...
Journal of proteome research 5 (5), 1143-1154, 2006
3002006
Joint estimation of multiple graphical models
J Guo, E Levina, G Michailidis, J Zhu
Biometrika 98 (1), 1-15, 2011
2902011
The Gifi system of descriptive multivariate analysis
G Michailidis, J de Leeuw
Statistical Science, 307-336, 1998
2841998
Block-relaxation algorithms in statistics
J De Leeuw
Information systems and data analysis, 308-324, 1994
2711994
Sequential experiment design for contour estimation from complex computer codes
P Ranjan, D Bingham, G Michailidis
Technometrics 50 (4), 527-541, 2008
2002008
Regularized estimation in sparse high-dimensional time series models
S Basu, G Michailidis
The Annals of Statistics 43 (4), 1535-1567, 2015
1602015
Immunoassay and antibody microarray analysis of the HUPO Plasma Proteome Project reference specimens: systematic variation between sample types and calibration of mass …
BB Haab, BH Geierstanger, G Michailidis, F Vitzthum, S Forrester, R Okon, ...
Proteomics 5 (13), 3278-3291, 2005
1582005
Development of natural protein microarrays for diagnosing cancer based on an antibody response to tumor antigens
J Qiu, J Madoz-Gurpide, DE Misek, R Kuick, DE Brenner, G Michailidis, ...
Journal of proteome research 3 (2), 261-267, 2004
1452004
Discovering graphical Granger causality using the truncating lasso penalty
A Shojaie, G Michailidis
Bioinformatics 26 (18), i517-i523, 2010
1322010
ada: An r package for stochastic boosting
M Culp, K Johnson, G Michailidis
Journal of Statistical Software 17 (2), 9, 2006
1212006
Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer
AP Khan, LM Poisson, VB Bhat, D Fermin, R Zhao, S Kalyana-Sundaram, ...
Molecular & Cellular Proteomics 9 (2), 298-312, 2010
1192010
Electric power allocation in a network of fast charging stations
IS Bayram, G Michailidis, M Devetsikiotis, F Granelli
IEEE Journal on Selected Areas in Communications 31 (7), 1235-1246, 2013
1152013
Metabolomic profiling reveals potential markers and bioprocesses altered in bladder cancer progression
N Putluri, A Shojaie, VT Vasu, SK Vareed, S Nalluri, V Putluri, ...
Cancer research 71 (24), 7376-7386, 2011
1152011
Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs
A Shojaie, G Michailidis
Biometrika 97 (3), 519-538, 2010
1122010
Local vote decision fusion for target detection in wireless sensor networks
N Katenka, E Levina, G Michailidis
IEEE Transactions on Signal Processing 56 (1), 329-338, 2007
1122007
The role of sarcosine metabolism in prostate cancer progression
AP Khan, TM Rajendiran, B Ateeq, IA Asangani, JN Athanikar, AK Yocum, ...
Neoplasia (New York, NY) 15 (5), 491, 2013
1042013
Temporal quantitative proteomics by iTRAQ 2D-LC-MS/MS and corresponding mRNA expression analysis identify post-transcriptional modulation of actin-cytoskeleton regulators …
VG Keshamouni, P Jagtap, G Michailidis, JR Strahler, R Kuick, AK Reka, ...
Journal of proteome research 8 (1), 35-47, 2009
942009
Analysis of gene sets based on the underlying regulatory network
A Shojaie, G Michailidis
Journal of Computational Biology 16 (3), 407-426, 2009
922009
Graph-based semisupervised learning
M Culp, G Michailidis
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (1), 174-179, 2007
922007
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Articles 1–20