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## Biological Network Analysis
![Drag Racing](../images/Biological_Network.png)
+
+
+## Multi-omics colocalization analysis
+
+![Drag Racing](../images/ColocBoost.jpg)
diff --git a/_pages/publications.md b/_pages/publications.md
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## \[2023+\]
-* **Cao, X.**, Zhang, S., & Sha, Q.\* (2023+). A novel method for multiple phenotype association studies based on genotype and phenotype network. *Submitted in August 2023*. [bioRxiv](https://doi.org/10.1101/2023.02.23.529687) [software](https://github.com/xueweic/GPN)
+* **Cao, X.**, Zhang, S., & Sha, Q.\* (2023+). A novel method for multiple phenotype association studies based on genotype and phenotype network. *In revision at PLoS Genetics*. [bioRxiv](https://doi.org/10.1101/2023.02.23.529687) [software](https://github.com/xueweic/GPN)
+* **Cao, X.**\#, Zhu, L.\#, Liang, X., Zhang, S. & Sha, Q.\* (2023+). Constructing genotype and phenotype network helps reveal disease heritability and phenome-wide association studies. *Submitted in October 2023* [software](https://github.com/xueweic/GPN)
* **Cao, X.**\#, Keyak, J.H.\#, Sigurdsson, S., Zhao, C., Zhou, W., Liu, A., Lang, T.F., Deng, H.W., GuĂ°nason, V.\* & Sha, Q.\* (2023+). A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure. *In revision at Osteoporosis International*. [arXiv](https://arxiv.org/abs/2210.01032)
* Xie, H., **Cao, X.**, Zhang, S. & Sha, Q. (2023+). Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network. *In revision at Bioinformatics*.
-* Zhao, C.\#, Keyak, J.H.\#, **Cao, X.**, Sha, Q., Wu, L., Luo, Z., Zhao, L., Tian, Q., Qiu, C., Su, R., Shen, H., Deng, H.W.\* & Zhou, W.\* (2023+). Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength. *In revision at Frontiers in Endocrinology, section Bone Research*. [arXiv](https://arxiv.org/abs/2210.00674)
* Zhao, C., Liu, A., Zhang, X., **Cao, X.**, Ding, Z., Sha, Q., Shen, H., Deng, H.W.\* & Zhou, W.\* CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. (2023+). *Submitted in August 2023*. [arXiv](https://arxiv.org/abs/2304.05542)
* Zhao, C.\#, Su, K.\#, Wu, C., **Cao, X.**, Sha, Q., Li, W., Luo, Z., Qin, T., Qiu, C., Liu, A., Jiang, L., Zhang, X., Shen, H., Deng, H.W.\* & Zhou, W.\* (2023+). Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. *Submitted in October 2023*
-* **Cao, X.**\#, Zhu, L.\#, Liang, X., Zhang, S. & Sha, Q.\* (2023+). Constructing genotype and phenotype network helps reveal disease heritability and phenome-wide association studies. *Will be submitted soon* [software](https://github.com/xueweic/GPN)
* Zhu, L., Yan, S., **Cao, X.**, Sha, Q. & Zhang, S.\* (2023+). Integrating external controls by regression calibration for genome-wide association study. *Will be submitted soon*
## \[2023\]
* **Cao, X.**\#, Zhang, L.\#, Islam, M.K., Zhao, M., He, C., Zhang, K., Liu, S., Sha, Q.\* & Wei, H.\*, (2023). TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization. *NAR Genomics and Bioinformatics*, 5(3), p.lqad083. [doi](https://doi.org/10.1093/nargab/lqad083)
* Wang, M., **Cao, X.**, Zhang, S. & Sha, Q.\* (2023). A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics. *Scientific Reports*. 13(1), p.3389. [doi](https://www.nature.com/articles/s41598-023-30415-3)
* Xie, H., **Cao, X.**, Zhang, S. & Sha, Q.\* (2023). Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies. *Genetic Epidemiology*. 47(2), pp.185-197. [doi](https://doi.org/10.1002/gepi.22513)
+* Zhao, C.\#, Keyak, J.H.\#, **Cao, X.**, Sha, Q., Wu, L., Luo, Z., Zhao, L., Tian, Q., Qiu, C., Su, R., Shen, H., Deng, H.W.\* & Zhou, W.\* (2023). Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength. *Frontiers in Endocrinology, section Bone Research*. [arXiv](https://arxiv.org/abs/2210.00674)
## \[2022\]
* **Cao, X.**, Liang, X., Zhang, S. & Sha, Q.\* (2022). Gene selection by incorporating genetic networks into case-control association studies. *European Journal of Human Genetics*. [doi](https://www.nature.com/articles/s41431-022-01264-x)
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