ABOUT THIS CENTER:

The post-genome era has arrived with a torrent of high throughput genomic and proteomic data, useful for dissecting the complex genetic circuitry within cells of an organism. The goal of biodata-refining is to process such data in a way like a refinery processes crude oil. With an array of analysis tools, many of them yet to be invented, we hope to distil information of various kind to meet diverse needs such as pathway studies, disease gene searching and pharmacogenomic research. Our lab currently focuses on microarray gene expression data analysis. The aim is to build an integrated system for exploring multiple public-accessible gene expression databases. This system is based on the newly introduced concept of liquid association (LA). It also employs clustering and other statistical dimension reduction techniques to enhance the analysis. The system will integrate data from protein complex, transcription factor binding, genetic markers, drug sensitivity profiling and worldwide genomic knowledgebases to distil biological information from microarray data.


DATA REFINERING FOR FUNCTIONAL GENOMICS
<Ker-chau Li>


   
   
                     
     
                     
         
                     
                     
     

People

Courses - High Dimensional Data Analysis:

Courses - High Dimensional Data Analysis:

Stat 216 (local)

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Stat 216 (remote)

Downloads - SIR/PHD:

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SIR Plot demo

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SIR Program

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Sir-I-II-model

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phd-model

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PHDRT

Lecture Notes

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Dimension reduction and data visualization (pdf file)

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Dimension reduction and data visualization (ps file)

Publications

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High-Dimensional Study

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Others

Forum

Content

Announcements

To be announced