J3-2377 — Annual report 2010
1.
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data

We showed that Rasch model - based dimension reduction is as effective as PCA-based dimension reduction. The method is general and can be applied to other high-dimensional data problems.

F.02 Acquisition of new scientific knowledge

COBISS.SI-ID: 1024151873
2.
Chi-square-based scoring function for categorization of MEDLINE citations

We suggest that the chi-square scoring is an effective solution to help categorize MEDLINE citations. The algorithm is implemented in the BITOLA literature-based discovery support system as a preprocessor for gene symbol disambiguation process.

F.16 Improvements to an existing information system/databases

COBISS.SI-ID: 26772441