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ARCHIVE
A Genomic Rule Predicting HMA Treatment Response in MDS Identified By Protein Network Mapping and Validated By Clinical Trial Simulation
Blood Journal,
2016
A Genomic Signature Predicting Venetoclax Treatment Response in AML Identified By Protein Network Mapping and Validated By Ex Vivo Drug Sensitivity Testing: A beat AML Project Study
Blood Journal,
2016
Use of Genomic Information to Predict Treatment Response in Multiple Myeloma Patients By Computational Mapping of Protein Network Disturbances
Blood Journal,
2016
Computational drug treatment simulations on projections of dysregulated protein networks derived from the myelodysplastic mutanome match clinical response in patients.
Leukemia Research,
2016
Predicting PD-L1 expression on human cancer cells using next-generation sequencing information in computational simulation models
Cancer Immunology, Immunotherapy,
2016
Identification of myeloproliferative neoplasm drug agents via predictive simulation modeling: assessing responsiveness with micro-environment derived cytokines.
Oncotarget,
2016
Predicting Clinical outcomes in cancer patients based on novel computational biology method of mapping the cancer mutanome
AACR Annual Meeting,
2016
Predicting MDS Response to Drug Therapies Based on a New Method of Interpreting the MDS Mutanome
Blood Journal,
2015
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