'Biological background' presentation slideshows

Genetic Algorithms

Genetic Algorithms . Team Members for Presentation Durga Mahesh Arikatla Rajiv Raja Manikant Pachineelam Kannan Dhanasekaran. Professor: Dr. Anita Wasilewska Presented on 05/04/2006. References.

1.1k views • 76 slides

Natural Selection in Humans

908 views • 71 slides

Artificial Intelligence

Artificial Intelligence . Genetic Algorithms Source: www.myreaders.info. Genetic Algorithms. Genetic algorithms are a part of evolutionary computing , which is a rapidly growing area of artificial intelligence. Genetic algorithms are inspired by Darwin's theory about evolution.

921 views • 64 slides

Inferring Prototypical Transcriptional Regulatory Network from Genome Sequence

Inferring Prototypical Transcriptional Regulatory Network from Genome Sequence. LO Leung Yau 7 th May, 2009. Outline. Biological Background Objective Current Approaches Various Models Problem: Insufficient Data Proposed Approach Predict TFBS from protein sequence

698 views • 59 slides

Gene expression

Gene expression. Terry Speed Wald Lecture III August 9, 2001. Thesis: the analysis of gene expression data is going to be big in 21st century statistics. Many different technologies, including High-density nylon membrane arrays Serial analysis of gene expression (SAGE)

837 views • 57 slides

Genetic Algorithms (GAs)

Genetic Algorithms (GAs). By Mutaz Flmban. Outline. History of Genetic Algorithm What is the Genetic Algorithm Biological Background Basic Genetic Algorithm Genetic Algorithm Operators Benefits of Genetic Algorithm Some Genetic Algorithm Applications Types. History of GAs.

911 views • 48 slides

2806 Neural Computation Introduction Lecture 1

2806 Neural Computation Introduction Lecture 1. 2005 Ari Visa. Agenda. Some historical notes Biological background What neural networks are? Properties of neural network Compositions of neural network Relation to artificial intelligence . Overview .

631 views • 45 slides

Bioinformatics

Bioinformatics. The application of computational techniques to understand and organise the information associated with biological macromolecules. Aims of Bioinformatics.

478 views • 39 slides

Artificial Intelligence in Information Processing

366 views • 26 slides

Authors: Lan Liu & Tao Jiang, Univ. California, Riverside

Fast Elimination of Redundant Linear Equations and Reconstruction of Recombination-free Mendelian Inheritance on a Pedigree. Authors: Lan Liu & Tao Jiang, Univ. California, Riverside Jing Xiao, Lirong Xia, Tsinghua Univ. , China. Outline.

376 views • 26 slides

Bioinformatics Basics

402 views • 25 slides

Protein Domain Finding Problem

Biological Background

15 views • 1 slides