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Bioinformatics (Oxford, England)|February 27, 2021
HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysisMingyang Ren, Sanguo Zhang, Qingzhao Zhang, et al.Journal of Biomedical Informatics|June 30, 2023
Aligned deep neural network for integrative analysis with high-dimensional inputShunqin Zhang, Sanguo Zhang, Huangdi Yi, et al.Biometrics|January 27, 2021
Gaussian graphical model-based heterogeneity analysis via penalized fusionMingyang Ren, Sanguo Zhang, Qingzhao Zhang, et al.Journal of Biopharmaceutical Statistics|July 17, 2019
Robust outcome weighted learning for optimal individualized treatment rulesSheng Fu, Qinying He, Sanguo Zhang, et al.Scientific Reports|September 15, 2020
Histopathological imaging features- versus molecular measurements-based cancer prognosis modelingSanguo Zhang, Yu Fan, Tingyan Zhong, et al.Statistics in Medicine|March 30, 2024
Information-incorporated sparse hierarchical cancer heterogeneity analysisWei Han, Sanguo Zhang, Shuangge Ma, et al.Communications in Statistics: Theory and Methods|March 26, 2019
Using repeated measures to correct correlated measurement errors through orthogonal decompositionChang Yu, Sanguo Zhang, Christine Friedenreich, et al.Journal of the American Statistical Association|August 14, 2018
Promoting Similarity of Sparsity Structures in Integrative Analysis with PenalizationYuan Huang, Qingzhao Zhang, Sanguo Zhang, et al.Cancer Letters|January 17, 2009
Targeting transforming growth factor-beta signaling in liver metastasis of colon cancerBixiang Zhang, Sunil K Halder, Sanguo Zhang, et al.Genetic Epidemiology|June 29, 2017
Accommodating missingness in environmental measurements in gene-environment interaction analysisMengyun Wu, Yangguang Zang, Sanguo Zhang, et al.Pageof 102