Presentation is loading. Please wait.

Presentation is loading. Please wait.

Elinor Velasquez San Francisco State University Department of Biology.

Published byWillis Walton Modified over 8 years ago

Similar presentations

Presentation on theme: "Elinor Velasquez San Francisco State University Department of Biology."— Presentation transcript:

1 Elinor Velasquez San Francisco State University Department of Biology

2 REGULATOR GENE

3 Gene 1 Gene 2 Gene 3 Gene 5 Gene 6 Gene 4

4 Time-series microarray data Construct a naïve Bayes network via Weka Change network using K2 and hill-climbing algorithms via Weka Finalize network http://www.biochem.arizona.edu/classes/bioc471/pages/Lecture21/Lecture21.html

5 Egfr gene is regulated by the following genes:

6  Leticia Márquez-Magaña and laboratory members (San Francisco State University)  Susan J. Fisher (U.C. San Francisco)  Matthew Gormley (U.C. San Francisco)  N.I.H. M.B.R.S.-R.I.S.E. Grant 5 - R25- GM59298

Download ppt "Elinor Velasquez San Francisco State University Department of Biology."

Similar presentations

Basic Gene Expression Data Analysis--Clustering

Basic Gene Expression Data Analysis--Clustering
Communication-Avoiding Algorithms Jim Demmel EECS & Math Departments UC Berkeley.

Communication-Avoiding Algorithms Jim Demmel EECS & Math Departments UC Berkeley.
Weka. Preprocessing Opening a file Editing a file Visualize a variable.

Weka. Preprocessing Opening a file Editing a file Visualize a variable.
Consistent probabilistic outputs for protein function prediction William Stafford Noble Department of Genome Sciences Department of Computer Science and.

Consistent probabilistic outputs for protein function prediction William Stafford Noble Department of Genome Sciences Department of Computer Science and.
Systems Biology of Inflammation A systems biology approach is an iterative process that includes: identification of component parts and interactions. integration.

Systems Biology of Inflammation A systems biology approach is an iterative process that includes: identification of component parts and interactions. integration.
Assuming normally distributed data! Naïve Bayes Classifier.

Assuming normally distributed data! Naïve Bayes Classifier.
Inferring Gene Regulatory Networks from Asynchronous Microarray Data David Oviatt, Dr. Mark Clement, Dr. Quinn Snell, Kenneth Sundberg Department of Computer.

Inferring Gene Regulatory Networks from Asynchronous Microarray Data David Oviatt, Dr. Mark Clement, Dr. Quinn Snell, Kenneth Sundberg Department of Computer.
UC Berkeley Library Career Workshop: Librarian Career Outlook July 23, 2008 Locke Morrisey, Head of Collections, Reference & Research Services University.

UC Berkeley Library Career Workshop: Librarian Career Outlook July 23, 2008 Locke Morrisey, Head of Collections, Reference & Research Services University.
Yeast Dataset Analysis Hongli Li 91.580 Final Project Computer Science Department UMASS Lowell.

Yeast Dataset Analysis Hongli Li Final Project Computer Science Department UMASS Lowell.
Synthesizing Human Insulin by Molly Nicholson With the Duke Institute for Genome Sciences & Policy Center for Genome Ethics, Law & Policy.

Synthesizing Human Insulin by Molly Nicholson With the Duke Institute for Genome Sciences & Policy Center for Genome Ethics, Law & Policy.
Cancer classification using Machine Learning Techniques on Microarray Data Yongjin Park 1 and Ming-Chi Tsai 2 1 Department of Biology, Computational Biology.

Cancer classification using Machine Learning Techniques on Microarray Data Yongjin Park 1 and Ming-Chi Tsai 2 1 Department of Biology, Computational Biology.
Bagging and Boosting in Data Mining Carolina Ruiz

Bagging and Boosting in Data Mining Carolina Ruiz
Merging Scientific and Advocate Communities: The Transdisciplinary Research Model in the BCERC Kami J. Silk, Ph.D. Department of Communication Michigan.

Merging Scientific and Advocate Communities: The Transdisciplinary Research Model in the BCERC Kami J. Silk, Ph.D. Department of Communication Michigan.
Reverse Engineering of Regulatory Networks Ka-Lok Ng Department of Bioinformatics Asia University.

Reverse Engineering of Regulatory Networks Ka-Lok Ng Department of Bioinformatics Asia University.
Text Classification: An Implementation Project Prerak Sanghvi Computer Science and Engineering Department State University of New York at Buffalo.

Text Classification: An Implementation Project Prerak Sanghvi Computer Science and Engineering Department State University of New York at Buffalo.
Dynamic Multicast Tree Construction in OceanStore Puneet Mehra and Satrajit Chatterjee Advanced Topics in Computer Systems Final Project EECS Department,

Dynamic Multicast Tree Construction in OceanStore Puneet Mehra and Satrajit Chatterjee Advanced Topics in Computer Systems Final Project EECS Department,
Making the Most of Small Sample High Dimensional Micro-Array Data Allan Tucker, Veronica Vinciotti, Xiaohui Liu; Brunel University Paul Kellam; Windeyer.

Making the Most of Small Sample High Dimensional Micro-Array Data Allan Tucker, Veronica Vinciotti, Xiaohui Liu; Brunel University Paul Kellam; Windeyer.
~700 students per semester take our courses. ~12 any semester have identified as majors. City College of San Francisco Department of Earth Sciences Presented.

~700 students per semester take our courses. ~12 any semester have identified as majors. City College of San Francisco Department of Earth Sciences Presented.
READI Working Group Meeting Agenda 4:00 Program Manager(s) Slot (NASA,NSF) 4:10 SIO Overview (Yehuda) 4:20 UC Berkeley Overview (Ingrid) 4:30 CWU Overview.

READI Working Group Meeting Agenda 4:00 Program Manager(s) Slot (NASA,NSF) 4:10 SIO Overview (Yehuda) 4:20 UC Berkeley Overview (Ingrid) 4:30 CWU Overview.
Disrupting and monitoring cancer cell viability using visualization and drug therapy Elinor Velasquez CS 261 Oct 21 2013.

Disrupting and monitoring cancer cell viability using visualization and drug therapy Elinor Velasquez CS 261 Oct

Similar presentations

Ads by Google