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Projects
- 4 Finished
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Genomic and Transcriptomic Analysis of Mammographic Density
Sieh, W., Habel, L. A., Habel, L. L. A., Wang, P. P., Sieh, W. & Wang, P.
11/12/19 → 30/11/22
Project: Research
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Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision Medicine
Wang, P. & Schadt, E. E.
19/09/16 → 31/08/21
Project: Research
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Cross-species network approach to predict epistatic cancer susceptibility genes
Paulovich, A. G. & Wang, P.
30/09/08 → 31/08/14
Project: Research
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Statistical Methods for Integrative Analysis of Genomics and Proteomics Data
National Institute of General Medical Sciences
15/07/08 → 30/12/13
Project: Research
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MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer
Song, X., Ji, J., Rothstein, J. H., Alexeeff, S. E., Sakoda, L. C., Sistig, A., Achacoso, N., Jorgenson, E., Whittemore, A. S., Klein, R. J., Habel, L. A., Wang, P. & Sieh, W., Dec 2023, In: Nature Communications. 14, 1, 377.Research output: Contribution to journal › Article › peer-review
Open Access -
Associations between antenatal maternal asthma status and placental DNA methylation
Lee, A. G., Tignor, N., Cowell, W., Colicino, E., Bozack, A., Baccarelli, A., Wang, P. & Wright, R. J., Aug 2022, In: Placenta. 126, p. 184-195 12 p.Research output: Contribution to journal › Article › peer-review
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Comparative assessment of standard and immune response criteria for evaluation of response to PD-1 monotherapy in unresectable HCC
Lewis, S., Cedillo, M. A., Lee, K. M., Bane, O., Hectors, S., Ma, W., Wang, P., Stocker, D., Morris, D. V., Pinato, D., Sung, M., Marron, T., Schwartz, M. & Taouli, B., Mar 2022, In: Abdominal Radiology. 47, 3, p. 969-980 12 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Concerns about the interpretation of subgroup analysis. Reply
Li, S., Wang, P. & Li, L., 18 Jan 2022, In: Journal of Clinical Investigation. 132, 2, 156711.Research output: Contribution to journal › Letter › peer-review
Open Access -
DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer
Chowdhury, S., Wang, R., Yu, Q., Huntoon, C. J., Karnitz, L. M., Kaufmann, S. H., Gygi, S. P., Birrer, M. J., Paulovich, A. G., Peng, J. & Wang, P., Dec 2022, In: BMC Bioinformatics. 23, 1, 321.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Mount Sinai Designated as National Cancer Institute Proteogenomics Data Analysis Center
13/07/22 → 16/07/22
5 items of Media coverage
Press/Media
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Genome evolution and diversity of wild and cultivated potatoes - Nature
8/06/22
1 item of Media coverage
Press/Media
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Meet the valedictorians and salutatorians from Hillsborough public schools
10/05/22
3 items of Media coverage
Press/Media