Analysis of racial disparities in HCC by systems metabolomics. National Cancer Institute (NCI) U01CA185188 (PI: Ressom)
The goal of this project is to find and validate race-specific biomarkers for HCC and identify perturbed intercellular signaling pathways in HCC.
Systems metabolomics for HCC biomarker discovery. National Institute of General Medicine (NIGMS) R01GM123766 (PI: Ressom)
This project seeks to develop computational tools for analysis of metabolomic data and apply the tools to find metabolite biomarkers for HCC.
New tools for metabolite identification and quantitation.
NCI R03CA222155 (PI: Ressom)
This project aims to develop an R-package metID for a network-based prioritization of putative metabolite IDs identified by mass-based search tools such as MetaboSearch.
Analysis of LC-MS data to identify peptide and glycan biomarkers for Hepatocellular Carcinoma. National Cancer Institute (NCI) R01CA143420 (PI: Ressom)
Quantitative analysis of LC-MS data for peptide and glycan biomarker discovery. National Institute of General Medicine (NIGMS) R01GM086746 (PI: Ressom)
Metabolomic and integromic approaches to identify fingerprints for early detection and treatment of liver cancer. NCI R21 CA153176 (PI: Ressom)
III-CXT-Small: Analysis of mass spectrometry data for biomarker discovery. National Science Foundation (NSF) IIS-0812246 (PI: Ressom)
Peptide biomarker discovery by mass spectrometry for early detection of liver cancer. NCI R21 CA130837 (PI: Ressom)
Novel analytical tools for biomarker discovery from mass spectrometry data.
Associate Membership to NCI's Early Detection Research Network (PI: Ressom)
Identification of serum biomarkers for early detection of liver cancer. Prevent Cancer Foundation (PI: Ressom)
Novel machine learning methods for analysis of MALDI-TOF mass spectrometry data.
NCI R03 CA119313 (PI: Ressom).
A pattern recognition system for identifying organic compounds from XMF EEMs. National Aeronautics and Space Administration (NASA) (PI: Ressom)
Integrated fluorocarbon microsensor system using catalytic modification.
NSF CBET-0428341 (PI: Wheeler, Co-PIs: Ressom and Pereira da Cunha)
Acquisition of an x-band satellite data groundstation for regional multidisciplinary research. NSF EIA-0131889 (PI: Thomas, Co-PIs: Beard-Tisdale, Sader, and Ressom)
Biodiversity and ecosystems informatics. NSF OCE-0420393 (PI: Musavi, Co-PIs: Markowsky, Hinkle, Stefanidis, and Ressom)
Accurate DNA base calling.
NSF DBI-0090738 (PI: Musavi, Co-PIs: Van Beneden, Ressom, and Domnisoru)
Analysis of gene expression data from Rhizoctonia solani using a novel clustering algorithm. University of Maine Faculty Research Fund (PI: Ressom, Co-PI: Tavantzis)
Seagrass health estimation using neural networks.
Maine Space Grant Consortium (PI: Ressom)
Neural network-based estimation of chlorophyll-a concentration in coastal waters. NASA and the Maine Space Grant Consortium (PI: Ressom)