Procesamiento de datos de espectrometría de masas: algoritmos y metodologías

Abstract

Cancer is an asymptomatic disease at an early stage and very difficult to diagnose in many cases it is not perceived until it has already reached the stage of metastasis, spreading in other organs of the body. It is the second cause of death in Ecuador despite progress made in recent years have been revolutionary, there are cases where the cancer is detected in its terminal stage and still has not found any scientific or empirical methodology to indicate the presence of this pathology. Traditional methods of diagnosing cancer in any of its types are relatively ineffective in early stages, using invasive methods and at risk of being detected as false positive or false negative. Research centers and universities have joined forces to seek alternative diagnosis and treatment of cancer using methods to improve the efficiency of diagnosis and detection of cancer in its early stages. This paper discusses a group of algorithms and methodologies for processing data sets of mass spectrometry measurements of cancer and normal analyzed samples using computing platforms aimed at improving the quality of measurements for biomarkers definition applications.