'Learning set' presentation slideshows

Supervised Learning, Classification, Discrimination

581 views • 48 slides

Statistics for Microarrays

Statistics for Microarrays. Discrimination. Class web site: http://statwww.epfl.ch/davison/teaching/Microarrays/ETHZ/. Biological question Differentially expressed genes Sample class prediction etc. Experimental design. Microarray experiment. 16-bit TIFF files. Image analysis.

618 views • 46 slides

Discrimination Methods

Discrimination Methods. As Used In Gene Array Analysis. Discrimination Methods. Microarray Background Clustering and Classifiers Discrimination Methods: Nearest Neighbor Classification Trees Maximum Likelihood Discrimination Fisher Linear Discrimination Aggregating Classifiers Results

704 views • 46 slides

Statistics for Microarray Data Analysis with R

596 views • 45 slides

436 views • 43 slides

Discrimination

Discrimination. or Class prediction or Supervised Learning. cDNA Microarrays Parallel Gene Expression Analysis. 6526 genes /tumor. Motivation: A study of gene expression on breast tumours (NHGRI, J. Trent).

510 views • 41 slides

Classification of Microarray data

Classification of Microarray data. Chris Holmes With thanks to: Jean Yang. Classification. Task: assign objects to classes (groups) on the basis of measurements made on the objects ( features) Unsupervised: classes unknown, want to discover them from the data (cluster analysis)

548 views • 36 slides

CSCE555 Bioinformatics

CSCE555 Bioinformatics. Lecture 15 classification for microarray data Meeting: MW 4:00PM-5:15PM SWGN2A21 Instructor: Dr. Jianjun Hu Course page: http://www.scigen.org/csce555. University of South Carolina Department of Computer Science and Engineering 2008 www.cse.sc.edu. Outline.

422 views • 33 slides

Discrimination and clustering with microarray gene expression data

Discrimination and clustering with microarray gene expression data. Terry Speed, Jane Fridlyand, Yee Hwa Yang and Sandrine Dudoit*. Department of Statistics, UC Berkeley, *Department of Biochemistry, Stanford University. ENAR, Charlotte NC, March 27 2001. Outline.

427 views • 29 slides

Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data

Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data. Presented by: Tun-Hsiang Yang. purpose of this paper. Compare the performance of different discrimination methods Nearest Neighbor classifier Linear discriminant analysis Classification tree

364 views • 24 slides

Characterization and prediction of drug binding sites in proteins

Characterization and prediction of drug binding sites in proteins. Yariv Brosh & Alex Fardman Advisor: Dr. Yanay Ofran. Concepts. Background Goals Methods Results Conclusions Implications. Background.

404 views • 22 slides

Stacked Generalization an overview of the paper by David H. Wolpert

365 views • 20 slides

Applying the SUBDUE Substructure Discovery System to the Chemical Toxicity Domain

Applying the SUBDUE Substructure Discovery System to the Chemical Toxicity Domain. Ravindra N. Chittimoori, Diane J. Cook, Lawrence B. Holder Department of Computer Science and Engineering University of Texas at Arlington http://cygnus.uta.edu/subdue/. Motivation and Goal.

246 views • 16 slides

Classification & ID3

264 views • 12 slides

LIB 5050 Information and Management Technology in Libraries and Educational Media Centers

LIB 5050 Information and Management Technology in Libraries and Educational Media Centers. Class 5 of 6. Common Good Spring Registration Germany and Mexico Seminar Learning Set Meeting Core Learning Homework. Seminar. Expectations Raise the level to the universal

186 views • 10 slides

246 views • 10 slides

Library Test Set

Library Test Set. Vocabularies different from last year's 3 subject heading lists Originally in SKOS Huge (340K, 150K, 800K) In different languages (EN, FR, GE) Very difficult! Though a part of a reference alignment (MACS) was provided as learning set Only one participant (TaxoMap)

80 views • 2 slides