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Data Set Descriptions: Minta Thomas

Data Set Descriptions

1. Maximum likelihood estimation of GEVD: Applications in Bioinformatics o Case 1  Clinical Data  Microarray Data o Case 2  Clinical Data  Microarray Data o Case 3  Clinical Data  Microarray Data

2. Robust PCA improves biomarker discovery in colon cancer with incorporation of literature information.

o Colon Cancer Data

3. New bandwidth selection criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems. o Colon o Breast cancer I o Cervical o Leukemia o Ovarian

o Head & neck squamous o Duchenne muscular dystrophy

o HIV encephalitis o Breast cancer II

4. Predicting breast cancer using an expression values weighted clinical classifier. o Case 1  Clinical Data  Microarray Data o Case 2  Clinical Data  Microarray Data o Case 3  Clinical Data  Microarray Data o Case 4  Clinical Data  Microarray Data o Case 5  Clinical Data  Microarray Data

5. Chemoinformatics approach to identify new compounds which inhibit bio films formed by either Salmonella or Pseudomonas.

o Data Sets o Data Sets

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