Eric P. Xing
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computer Science, Bioinformatics Biology, Biostatistics BiologyGoogle:
"Eric Xing"Children
Sign in to add trainee| Amr Ahmed | grad student | 2011 | Carnegie Mellon |
| Hetunandan Kamichetty | grad student | 2011 | Carnegie Mellon |
| Kyung-Ah Sohn | grad student | 2011 | Carnegie Mellon |
| Suyash Shringargpure | grad student | 2012 | Carnegie Mellon |
| Gunhee Kim | grad student | 2013 | Carnegie Mellon |
| Mladen Kolar | grad student | 2013 | Carnegie Mellon |
| Kriti Puniyani | grad student | 2013 | Carnegie Mellon |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Wang H, Yue T, Yang J, et al. (2019) Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies. Bmc Bioinformatics. 20: 656 |
| Marchetti-Bowick M, Yu Y, Wu W, et al. (2019) A penalized regression model for the joint estimation of eQTL associations and gene network structure The Annals of Applied Statistics. 13: 248-270 |
| Kampffmeyer M, Dong N, Liang X, et al. (2018) ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
| Wang H, Lengerich BJ, Aragam B, et al. (2018) Precision Lasso: Accounting for Correlations and Linear Dependencies in High-Dimensional Genomic Data. Bioinformatics (Oxford, England) |
| Wang H, Aragam B, Xing EP. (2018) Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies. Methods (San Diego, Calif.) |
| Wang H, Liu X, Xiao Y, et al. (2018) Multiplex Confounding Factor Correction for Genomic Association Mapping with Squared Sparse Linear Mixed Model. Methods (San Diego, Calif.) |
| Lee S, Wang H, Xing EP. (2017) Backward Genotype-Transcript-Phenotype Association Mapping. Methods (San Diego, Calif.) |
| Xu M, Chai X, Muthakana H, et al. (2017) Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinformatics (Oxford, England). 33: i13-i22 |
| Zhou Y, Yuan K, Yu Y, et al. (2017) Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with polynomial functions. Heredity |
| Lee S, Kong S, Xing EP. (2016) A network-driven approach for genome-wide association mapping. Bioinformatics (Oxford, England). 32: i164-i173 |