Diagnosis of early relapse in ovarian cancer using serum proteomic profiling / Jean Gao.

Format:

Video

Author/Creator:

Gao, Jean, speaker, author.

Series:

Henry Stewart talks. Biomedical & life sciences collection. Using bioinformatics in the exploration of genetic diversity : fundamentals and recent advances.

Using bioinformatics in the exploration of genetic diversity : fundamentals and recent advances, 2056-452X

Language:

English

Subjects (All):

Computational Biology.

Genetics.

Neoplasm Recurrence, Local--diagnosis.

Ovarian Neoplasms--diagnosis.

Ovarian Neoplasms.

Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.

Variation (Genetics).

Medical Subjects:

Computational Biology.

Genetics.

Neoplasm Recurrence, Local--diagnosis.

Ovarian Neoplasms--diagnosis.

Ovarian Neoplasms.

Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.

Variation (Genetics).

Genre:

Video recordings.

Physical Description:

1 online resource (1 streaming video file (40 min.)) : color, sound.

polychrome

Place of Publication:

London : Henry Stewart Talks, 2007.

System Details:

Mode of access: World Wide Web.

video file

Contents:

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.

Notes:

Animated audio-visual presentation with synchronized narration.

Title from title frames.

Publisher Number:

1341 Henry Stewart Talks

Access Restriction:

Restricted for use by site license.