Diagnosis of early relapse in ovarian cancer using serum proteomic profiling [electronic resource] / Jean Gao.
Material type:
FilmSeries: Henry Stewart talksBiomedical & life sciences collection. Using bioinformatics in the exploration of genetic diversity : fundamentals and recent advances: Publisher: London : Henry Stewart Talks, 2007Description: 1 online resource (1 streaming video file (40 min.) : color, sound)Subject(s): Computational Biology | Genetics | Neoplasm Recurrence, Local -- diagnosis | Ovarian Neoplasms -- diagnosis | Ovarian Neoplasms | Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization | Variation (Genetics)Online resources: Click here to access online | Series Animated audio-visual presentation with synchronized narration.
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Contents: Surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry data -- Use of Biomarkers to identify diverse early disease detection -- Ovarian cancer relapse diagnosis -- SVM-MB/RFE: Support Vector Machine- Markov Blanket/Recursive Feature Elimination to identify biomarkers for predicting the early recurrence of ovarian cancer by analyzing SELDI-TOF mass spectrometry data.
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Mode of access: World Wide Web.