From aea32a44d5fb5bec93608b307a3932d48603997f Mon Sep 17 00:00:00 2001 From: xuewei cao <36172337+xueweic@users.noreply.github.com> Date: Sat, 27 Apr 2024 23:49:27 -0400 Subject: [PATCH] a --- .DS_Store | Bin 10244 -> 10244 bytes _pages/publications.md | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/.DS_Store b/.DS_Store index f5b2264d11638e198a85e5d03c97eea654a9e7d6..ac8d102b1c4f7b23979a21544d15eb78b47a4bf3 100644 GIT binary patch delta 36 rcmZn(XbIS`L0H(((o{#m$ke=6N1@u%$UsNI#CUR{kjdun!n`5?$$JWN delta 16 XcmZn(XbIS`L3lEkgy-g;!rUSNICTa1 diff --git a/_pages/publications.md b/_pages/publications.md index 82a88b09ccb49..d12ae656970d6 100644 --- a/_pages/publications.md +++ b/_pages/publications.md @@ -9,13 +9,13 @@ author_profile: true ## \[2024+\] -* **Cao, X.**, Zhang, S., & Sha, Q.\* (2024+). 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.\* (2024+). Constructing genotype and phenotype network helps reveal disease heritability and phenome-wide association studies. *Submitted in October 2023*. [medRxiv](https://www.medrxiv.org/content/10.1101/2023.11.14.23297400v1) [software](https://github.com/xueweic/GPN) * 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*. [arXiv](https://arxiv.org/abs/2310.07990) * Qi, Z., Pelletier, A., Willwerscheid, J. **Cao, X.**, Wen, X., Cruchaga, C., De Jager, P.L., TCW, J.\* & Wang, G.\* (2024+). Novel Missing Data Imputation Approaches Enhance Quantitative Trait Loci Discovery in Multi-Omics Analysis. *Preprinted in November 2023*. [medRxiv](https://doi.org/10.1101/2023.11.29.23299181) ## \[2024\] +* **Cao, X.**, Zhang, S., & Sha, Q.\* (2024+). A novel method for multiple phenotype association studies based on genotype and phenotype network. *PLoS Genetics*. Accepted. [bioRxiv](https://doi.org/10.1101/2023.02.23.529687) [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.\* (2024). A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure. *Osteoporosis International*. Accepted. [arXiv](https://arxiv.org/abs/2210.01032) * Zhu, L., Yan, S., **Cao, X.**, Sha, Q. & Zhang, S.\* (2024). Integrating external controls by regression calibration for genome-wide association study. *Genes*. 15(1), 67. [doi](https://doi.org/10.3390/genes15010067) * 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. (2024). *Computers in Biology and Medicine*. Accepted. [arXiv](https://arxiv.org/abs/2304.05542)