Our algorithm and preliminary data preparation progress was significantly impacted by Superstorm Sandy due to loss of preliminary data and loss of staff time. The goal of this proposed grant is to restore preliminary results and research on causal network biosignature algorithm development to provide the basis for a future R01 application.

Public Health Relevance

We hypothesize that an outcome driven causal network approach will identify biomarkers that are more likely to be causal. We will then combine the identified causal biomarkers weighted by their causal effects into a more stable signature score. The goal of this proposed R21 grant is to restore preliminary results and research on causal network bio signature algorithm development.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Exploratory/Developmental Grants (R21)
Project #
Application #
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (50))
Program Officer
Brazhnik, Paul
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
New York University
Public Health & Prev Medicine
Schools of Medicine
New York
United States
Zip Code
Weiss, Sarah A; Han, Joseph; Darvishian, Farbod et al. (2016) Impact of aging on host immune response and survival in melanoma: an analysis of 3 patient cohorts. J Transl Med 14:299
Han, Sung Won; Chen, Gong; Cheon, Myun-Seok et al. (2016) Estimation of Directed Acyclic Graphs Through Two-stage Adaptive Lasso for Gene Network Inference. J Am Stat Assoc 111:1004-1019
Han, Sung Won; Zhong, Hua (2016) Estimation of sparse directed acyclic graphs for multivariate counts data. Biometrics 72:791-803
Kourtis, Nikos; Moubarak, Rana S; Aranda-Orgilles, Beatriz et al. (2015) FBXW7 modulates cellular stress response and metastatic potential through ?HSF1 post-translational modification. Nat Cell Biol 17:322-332
Zhong, Hua; Chen, Gong; Jukofsky, Lori et al. (2015) MDM2 antagonist clinical response association with a gene expression signature in acute myeloid leukaemia. Br J Haematol 171:432-5
Hanniford, Doug; Zhong, Judy; Koetz, Lisa et al. (2015) A miRNA-Based Signature Detected in Primary Melanoma Tissue Predicts Development of Brain Metastasis. Clin Cancer Res 21:4903-12
Hanniford, Doug; Segura, Miguel F; Zhong, Judy et al. (2015) Identification of metastasis-suppressive microRNAs in primary melanoma. J Natl Cancer Inst 107:
Fleming, Nathaniel H; Zhong, Judy; da Silva, InĂªs Pires et al. (2015) Serum-based miRNAs in the prediction and detection of recurrence in melanoma patients. Cancer 121:51-9
Wengrod, Jordan; Wang, Ding; Weiss, Sarah et al. (2015) Phosphorylation of eIF2? triggered by mTORC1 inhibition and PP6C activation is required for autophagy and is aberrant in PP6C-mutated melanoma. Sci Signal 8:ra27
Chen, Gong; Zhong, Hua; Belousov, Anton et al. (2015) A PRIM approach to predictive-signature development for patient stratification. Stat Med 34:317-42

Showing the most recent 10 out of 11 publications