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Full-Text Articles in Medicine and Health Sciences
Novel Approaches To Visualization And Data Mining Reveals Diagnostic Information In The Low Amplitude Region Of Serum Mass Spectra From Ovarian Cancer Patients, Donald J. Johann, Michael D. Mcguigan, Stanimire Tomov, Vincent A. Fusaro, Sally Ross, Thomas P. Conrads, Timothy D. Veenstra, David A. Fishman, Gordon R. Whiteley, Emanuel F. Petricoin, Lance A. Liotta
Novel Approaches To Visualization And Data Mining Reveals Diagnostic Information In The Low Amplitude Region Of Serum Mass Spectra From Ovarian Cancer Patients, Donald J. Johann, Michael D. Mcguigan, Stanimire Tomov, Vincent A. Fusaro, Sally Ross, Thomas P. Conrads, Timothy D. Veenstra, David A. Fishman, Gordon R. Whiteley, Emanuel F. Petricoin, Lance A. Liotta
Pharmaceutical Sciences Faculty Publications
The ability to identify patterns of diagnostic signatures in proteomic data generated by high throughput mass spectrometry (MS) based serum analysis has recently generated much excitement and interest from the scientific community. These data sets can be very large, with high-resolution MS instrumentation producing 1-2 million data points per sample. Approaches to analyze mass spectral data using unsupervised and supervised data mining operations would greatly benefit from tools that effectively allow for data reduction without losing important diagnostic information. In the past, investigators have proposed approaches where data reduction is performed by a priori "peak picking" and alignment/warping/smoothing components using …
Diagnostic Proteomics: Serum Proteomic Patterns For The Detection Of Early Stage Cancers, Li-Rong Yu, Ming Zhou, Thomas P. Conrads, Timothy D. Veenstra
Diagnostic Proteomics: Serum Proteomic Patterns For The Detection Of Early Stage Cancers, Li-Rong Yu, Ming Zhou, Thomas P. Conrads, Timothy D. Veenstra
Pharmaceutical Sciences Faculty Publications
The ability to interrogate thousands of proteins found in complex biological samples using proteomic technologies has brought the hope of discovering novel disease-specific biomarkers. While most proteomic technologies used to discover diagnostic biomarkers are quite sophisticated, "proteomic pattern analysis" has emerged as a simple, yet potentially revolutionary, method for the early diagnosis of diseases. Utilizing this technology, hundreds of clinical samples can be analyzed per day and several preliminary studies suggest proteomic pattern analysis has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.