'Original data set' presentation slideshows

Classification of Microarray Gene Expression Data

Classification of Microarray Gene Expression Data. Geoff McLachlan Department of Mathematics & Institute for Molecular Bioscience University of Queensland. Institute for Molecular Bioscience, University of Queensland.

1.36k views • 127 slides

Preprocessing

1.37k views • 107 slides

Descriptive Statistics, Histograms, and Normal Approximations

Descriptive Statistics, Histograms, and Normal Approximations. Math 1680. Overview. Obtaining Data Sets Descriptive Statistics Histograms The Normal Curve Standardization Normal Approximation Summary. Obtaining Data Sets. Before we can analyze a data set, we need to have a data set

778 views • 61 slides

Descriptive Statistics, Histograms, and Normal Approximations

Descriptive Statistics, Histograms, and Normal Approximations. Math 1680. Overview. Obtaining Data Sets Descriptive Statistics Histograms The Normal Curve Standardization Normal Approximation Summary. Obtaining Data Sets. Before we can analyze a data set, we need to have a data set

740 views • 61 slides

Sampling Distributions

Sampling Distributions. Central Limit Theorem. Objectives. Investigate the variability in sample statistics from sample to sample. Find measures of central tendency for distribution of sample statistics. Find measures of dispersion for distribution of sample statistics.

623 views • 54 slides

Molecular Evolution and Phylogeny

Molecular Evolution and Phylogeny. Examples. Weakly deleterious mutations. Weakly deleterious mutations can reach high frequencies in local populations and, thus, may contribute significantly to genetic variance in disease susceptibility. Sequencing of human polymorphisms.

746 views • 53 slides

Data & Vis Basics

572 views • 50 slides

Quick R Tips

Quick R Tips. How to find out what packages are available library() How to find out what packages are actually installed locally (.packages()). Biological question Differentially expressed genes Sample class prediction etc. Experimental design. Microarray experiment. Image analysis.

681 views • 49 slides

DATA REDUCTION (Lecture# 03)

DATA REDUCTION (Lecture# 03). Dr. Tahseen Ahmed Jilani Assistant Professor Member IEEE-CIS, IFSA, IRSS Department of Computer Science University of Karachi. Chapter Objectives. Identify the differences in dimensionality reduction based on features, cases, and reduction of value techniques.

639 views • 49 slides

3D Geometry for Computer Graphics

480 views • 36 slides

Privacy-MaxEnt: Integrating Background Knowledge in Privacy Quantification

Privacy-MaxEnt: Integrating Background Knowledge in Privacy Quantification. Wenliang (Kevin) Du, Zhouxuan Teng, and Zutao Zhu. Department of Electrical Engineering & Computer Science Syracuse University, Syracuse, New York. Introduction. Privacy-Preserving Data Publishing.

640 views • 33 slides

3D Geometry for Computer Graphics

411 views • 33 slides

Computer Graphics

346 views • 29 slides

SPSS Overview

SPSS Overview. The opening screen. The SPSS windows. Obtain the data. PASW (SPSS). Download the Demo File from the data folder in the course Blackboard site Save it on the desk top Open the saved file with SPSS. Data Editor. Drop down menus. Variable descriptions. Action buttons.

455 views • 26 slides

Using Trees to Depict a Forest

Using Trees to Depict a Forest. Proceedings of Very Large Data Base Endowment Inc. (VLDB Endowment) Volume 2, 2009. Bin Liu , H.V. Jagadish Department of EECS University of Michigan Ann Arbor, USA. Introduction. Motivation Many-Answers Problem

339 views • 26 slides

GPU Stock Simulator

GPU Stock Simulator. Dan Iannuzzi Kevin Pine CS 680. Outline. The Problem Recap of CS676 project Goal of this GPU Research Approach Parallelization attempts Results Difficulties Encountered Lessons Learned Future Work Opportunities Conclusion. The Problem.

333 views • 22 slides

Data Reduction via Instance Selection

Data Reduction via Instance Selection. Chapter 1. Background. KDD Nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. Instance selection

242 views • 13 slides

Research on the Measures of Central Tendency and Range between Inter-related Data Sets

By Samuel Chukwuemeka ; B.Eng, A.A.T, M.Ed. Research on the Measures of Central Tendency and Range between Inter-related Data Sets. Data: values of a variable that are observable and measurable Mean: The average value of a data set values

204 views • 13 slides

gfz-potsdam.de

www.gfz-potsdam.de. Entropy-based method for optimal temporal and spatial resolution of gravity field variations Elisa Fagiolini and Christian Gruber

317 views • 1 slides

IM2GPS: estimating geographic information from a single image

IM2GPS: estimating geographic information from a single image. James Hays and Alexei A. Efros Carnegie Mellon University CVPR 2008. Wen -Tsai Huang. Outline. Abstract Introduction Building a Geo-tagged Image Dataset Scene Matching Data-driven Geolocation Secondary Geographic Tasks

224 views • 0 slides