'Gene expression data analysis' presentation slideshows

Introduction to Bioinformatics

C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V. E. B. I. O. I. N. F. O. R. M. A. T. I. C. S. V. U. Introduction to Bioinformatics. Lecture 16 Intracellular Networks Graph theory. High-throughput Biological Data.

669 views • 66 slides

Clustering Gene Expression Data: The Good, The Bad, and The Misinterpreted

Clustering Gene Expression Data: The Good, The Bad, and The Misinterpreted. Elizabeth Garrett-Mayer November 5, 2003 Oncology Biostatistics Johns Hopkins University esg@jhu.edu. Acknowledgements: Giovanni Parmigiani, David Madigan, Kevin Coombs. Data from Garber et al. PNAS (98), 2001.

519 views • 44 slides

Data mining: theory and applications

Data mining: theory and applications. Heikki Mannila. Data Mining: Theory and Applications. Data analysis becoming more important in other sciences and in industry New measurement methods Ability to store data High-dimensional large data sets

530 views • 34 slides

BioinfoGRID Project: Bioinformatics Grid Application for life science

334 views • 20 slides

Fusion - Department of Computer Engineering

This presentation is on Fusion and is presented by Dr. S. Mishra, HOD of the department of Computer Engineering at Hope Foundationu2019s International Institute of Information Technology, Iu00b2IT. The content of the presentation includes Pattern Recognition, Classification and Classifier Fusion. Learn about how to select an algorithm, functional aspects of fusion, importance of classifier fusion and more.

128 views • 12 slides