Development of Peptide Array Signal Detection Methods for Immune Profiling
This project leverages expertise in immunology, cancer cell biology, statistics, bioinformatics, and machine learning to develop effective filtering and prediction models, with the goal of aiding further discoveries using peptide arrays.
Peptide arrays are powerful tools for investigating protein interactions. They allow for screening peptides for potential binding interactions as a very convenient method for basic and applied research to develop novel drugs and diagnostics.
This project has the potential for advancing research in detecting immune dysfunction, monitoring immune responses to treatment, and precise targeting of tumors via personalized tumor vaccines.
Irene Ong, Assistant Professor of Obstetrics and Gynecology and Biostatistics and Medical Informatics
Michael Newton, Professor of Biostatics and Medical Informatics
Doug McNeel, Professor of Hematology and Oncology
Miriam Shelef, Assistant Professor of Rheumatology
Sean Mcllwain, Assistant Scientist in Biostatics and Medical Informatics
Matt Reynolds, Assistant Professor of Pathobiological Sciences, School of Veterinary Medicine
Paul Sondel, Professor of Pediatrics, Human Oncology and Genetics
Chris Zahm, Assistant Scientist in Hematology and Oncology
Benjamin Zuckerberg, Associate Professor of Forest and Wildlife Ecology