Rafal Kustra
Rafal Kustra
在 utoronto.ca 的電子郵件地址已通過驗證
Genome-wide association scan identifies a colorectal cancer susceptibility locus on chromosome 8q24
BW Zanke, CMT Greenwood, J Rangrej, R Kustra, A Tenesa, ...
Nature genetics 39 (8), 989-994, 2007
Genome-wide association scan identifies a colorectal cancer susceptibility locus on 11q23 and replicates risk loci at 8q24 and 18q21
A Tenesa, SM Farrington, JGD Prendergast, ME Porteous, M Walker, ...
Nature genetics 40 (5), 631, 2008
The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework
SC Strother, J Anderson, LK Hansen, U Kjems, R Kustra, J Sidtis, ...
NeuroImage 15 (4), 747-771, 2002
Risk Factors of Delayed Extubation, Prolonged Length of Stay in the Intensive Care Unit, and Mortality in Patients Undergoing Coronary Artery Bypass Graft with Fast-track …
DT Wong, DCH Cheng, R Kustra, R Tibshirani, J Karski, J Carroll-Munro, ...
Anesthesiology: The Journal of the American Society of Anesthesiologists 91 …, 1999
5-hmC in the brain is abundant in synaptic genes and shows differences at the exon-intron boundary
T Khare, S Pai, K Koncevicius, M Pal, E Kriukiene, Z Liutkeviciute, M Irimia, ...
Nature structural & molecular biology 19 (10), 1037, 2012
The DELVE manual
CE Rasmussen, RM Neal, GE Hinton, D van Camp, M Revow, ...
URL http://www. cs. toronto. edu/~ delve, 1996
Penalized discriminant analysis of [/sup 15/O]-water PET brain images with prediction error selection of smoothness and regularization hyperparameters
R Kustra, S Strother
IEEE Transactions on Medical Imaging 20 (5), 376-387, 2001
Incorporating gene ontology in clustering gene expression data
R Kustra, A Zagdanski
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 555-563, 2006
A factor analysis model for functional genomics
R Kustra, R Shioda, M Zhu
BMC bioinformatics 7 (1), 216, 2006
DNA modification study of major depressive disorder: beyond locus-by-locus comparisons
G Oh, SC Wang, M Pal, ZF Chen, T Khare, M Tochigi, C Ng, YA Yang, ...
Biological psychiatry 77 (3), 246-255, 2015
Canonical correlation analysis based on hilbert-schmidt independence criterion and centered kernel target alignment
B Chang, U Kruger, R Kustra, J Zhang
International Conference on Machine Learning, 316-324, 2013
The utility and predictive value of combinations of low penetrance genes for screening and risk prediction of colorectal cancer
SJ Hawken, CMT Greenwood, TJ Hudson, R Kustra, J McLaughlin, ...
Human genetics 128 (1), 89-101, 2010
Data-fusion in clustering microarray data: Balancing discovery and interpretability
R Kustra, A Zagdanski
IEEE/ACM transactions on computational biology and bioinformatics 7 (1), 50-63, 2008
CFH and ARMS2 genetic risk determines progression to neovascular age-related macular degeneration after antioxidant and zinc supplementation
DG Vavvas, KW Small, CC Awh, BW Zanke, RJ Tibshirani, R Kustra
Proceedings of the National Academy of Sciences 115 (4), E696-E704, 2018
Symptom clusters in a population-based ambulatory cancer cohort validated using bootstrap methods
D Howell, A Husain, H Seow, Y Liu, R Kustra, C Atzema, D Dudgeon, ...
European Journal of Cancer 48 (16), 3073-3081, 2012
EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis
SSF Lee, L Sun, R Kustra, SB Bull
Bioinformatics 24 (14), 1603-1610, 2008
Functional-network-based gene set analysis using gene-ontology
B Chang, R Kustra, W Tian
PloS one 8 (2), 2013
Cell-free DNA modification dynamics in abiraterone acetate-treated prostate cancer patients
J Gordevičius, A Kriščiūnas, DE Groot, SM Yip, M Susic, A Kwan, R Kustra, ...
Clinical Cancer Research 24 (14), 3317-3324, 2018
Theory and Methods-Comment-Quantile Autoregression
K Knight
Journal of the American Statistical Association 101 (475), 994-995, 2006
Bayesian CART model search. Commentaries. Authors' reply
HA Chipman, EI George, RE McCulloch, H ZHANG, K KNIGHT
Journal of the American Statistical Association 93 (443), 935-960, 1998
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