files

documents from various sources, not in refdb. Like slides, unpublished document, etc.

usc-05_yingxu.ppt

Ying Xu 10/27/05 seminar slides

Recent Developments in Graph Matching

By Horst Bunke, University of Bern. http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906030

sk-ch4.ps

This is a chapter of cross validation from some book(?). from Dr Haiyan Huang's email.

A new algorithm for inexact graph matching

Hlaoui, A.; Shengrui Wang; Pattern Recognition, 2002. Proceedings. 16th International Conference on Volume 4, 2002 Page(s):180 - 183 vol.4

On the Power of Profiles for Transcription Factor Binding Site Detection

Statistical Applications in Genetics and Molecular Biology, Volume 2, Issue 1, 2003 Article 7, Sven Rahmann, Tobias Muller, Martin Vingron. A very detailed investigation of TRANSFAC

Computational Methods for Promoter Recognition

Chapter 10 of "Current Topics in Computational Molecular Biology" by Tao Jiang (Editor), Ying Xu (Editor), Michael Q. Zhang (Editor)

Scan Statistics on Enron Graphs

by Carey E. Priebe et al. We introduce a theory of scan statistics on graphs and apply the ideas to the problem of anomaly detection in a time series of Enron email graphs.

Statistics of optimal sequence alignments

PhD thesis of Steffen Grossmann, Johann Wolfgang Goethe-University, Frankfurt, 2003

STATISTICAL SIGNIFICANCE IN BIOLOGICAL SEQUENCE COMPARISON

William R. Pearson and Todd C. Wood, Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, April 11, 2000 - final

Item-Based Collaborative Filtering Recommendation Algorithms

Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl {sarwar, karypis, konstan, riedl}@cs.umn.edu Group Lens Research Group/Army HPC Research Center, Department of Computer Science and Engineering University of Minnesota, Minneapolis, MN 55455 --- WWW10, May 1-5, 2001, Hong Kong.

The Optimal Discovery Procedure for Large-Scale Significance Testing, with Applications to Comparative Microarray Experiments

John D. Storey, James Y. Dai, Jeffrey T. Leek

A Tutorial on Learning With Bayesian Networks

David Heckerman, March 1995, 57 pages, Microsoft Research

MSRI

2006/06/19-2006/06/30: MSRI Summer Graduate Workshop: Mathematical aspects of computational biology. http://www.msri.org/calendar/sgw/WorkshopInfo/330/show_sgw

Random Graph Dynamics

got from http://www.math.cornell.edu/~durrett/RGD/RGD.html

BISC320 lab even nubmer review ppt

 

proj200303

everything here except 'doc/' is also in https://dl324b-1.cmb.usc.edu/svn/repos/proj200303

2008 02 19 db meeting

sketch of the topics

social hour 2008 04 04 slides.pdf

titled "Accelerate your Program by 1000 Times using MPI -- a Case of Finding Trios". A social hour talk in RRI421, MCB, USC.