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Projects of Data Mining & Computational Biology Lab.

Data Mining and Computational Biology. Lab projects (click the below link to connect a project). 1 CAM (Combining Array CGH and Microarray gene expression data from multiple samples). 2 OCPID (Organ Centric Protein Interaction Database). 31 Paper outline and additional files - Assessment of contribution of genomic data sources to predictiong protein functions. 32 Informative genomic data sets for the computational function predictions of Mus musculus. 5 Numerical Doses in LLLT and EA literatures. 18 In s...

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Data Mining and Computational Biology. Lab projects (click the below link to connect a project). 1 CAM (Combining Array CGH and Microarray gene expression data from multiple samples). 2 OCPID (Organ Centric Protein Interaction Database). 31 Paper outline and additional files - Assessment of contribution of genomic data sources to predictiong protein functions. 32 Informative genomic data sets for the computational function predictions of Mus musculus. 5 Numerical Doses in LLLT and EA literatures. 18 In s...
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Projects of Data Mining & Computational Biology Lab. | gcancer.org Reviews

https://gcancer.org

Data Mining and Computational Biology. Lab projects (click the below link to connect a project). 1 CAM (Combining Array CGH and Microarray gene expression data from multiple samples). 2 OCPID (Organ Centric Protein Interaction Database). 31 Paper outline and additional files - Assessment of contribution of genomic data sources to predictiong protein functions. 32 Informative genomic data sets for the computational function predictions of Mus musculus. 5 Numerical Doses in LLLT and EA literatures. 18 In s...

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gcancer.org gcancer.org
1

OCPID: Organ Centric Protein Interaction Database

http://www.gcancer.org/ocpid

OCPID: Organ Centric Protein Interaction Database. Row = mysql fetch array($result); echo '. Row['organName']; if($i % 4 = 0) echo '. Contact ComBio Lab. at GIST.

2

VToD

http://www.gcancer.org/VToD/VToD.html

Voting based cancer module identification by combining topological and data-driven properties. 2013/04/13: Source codes are uploaded. Azad, A.K.M. and Lee, H. (2013) Voting based cancer module identification by combining topological and data-driven properties. Codes were implemented in .Net Platform and are available here. Instructions for running source codes are here. Input files for these codes are provided here. Excluding the preprocessed CNAs and GE data sets. Hyunjulee at gist.ac.kr, azad a...

3

WIFA

http://www.gcancer.org/wifa/WIFA.html

Wavelet-based Identification of DNA focal genomic aberrations. 2011/06/17: New source codes and data sets are updated. It integrates array CGH data sets from multiple cancer samples and detects consistent aberrations across multiple samples. The use of the wavelet analysis, being a multi-resolution approach, makes it possible to effectively identify focal genomic aberrations in the broadly aberrant regions. Source codes are available here. And one example data can be downloaded from here.

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find AUC

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Projects of Data Mining & Computational Biology Lab.

http://www.gcancer.org/dgi

Data Mining and Computational Biology. Lab projects (click the below link to connect a project). 1 CAM (Combining Array CGH and Microarray gene expression data from multiple samples). 2 OCPID (Organ Centric Protein Interaction Database). 31 Paper outline and additional files - Assessment of contribution of genomic data sources to predictiong protein functions. 32 Informative genomic data sets for the computational function predictions of Mus musculus. 5 Numerical Doses in LLLT and EA literatures.

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