Eugen C. Buehler

Publication List Details

Period

2001 - 2004

Number

7

Co-Authors

The CRASSS plug-in for integrating annotation data with hierarchical clustering results (2004)

Buehler, Eugen C., Sachs, Jeffrey R., Shao, Kui, Bagchi, Ansuman, Ungar, Lyle H.

Summary: We describe an algorithm for finding the most statistically significant non-overlapping subtrees of a hierarchical clustering of gene expression data with respect to a set of secondary data...

The CRASSS plug-in for integrating annotation data with hierarchical clustering results (2004)

Buehler, Eugen C., Sachs, Jeffrey R., Shao, Kui, Bagchi, Ansuman, Ungar, Lyle H.

Summary: We describe an algorithm for finding the most statistically significant non-overlapping subtrees of a hierarchical clustering of gene expression data with respect to a set of secondary data...

The CRASSS plug-in for integrating annotation data with hierarchical clustering results (2004)

Buehler, Eugen C., Sachs, Jeffrey R., Shao, Kui, Bagchi, Ansuman, Ungar, Lyle H.

Summary: We describe an algorithm for finding the most statistically significant non-overlapping subtrees of a hierarchical clustering of gene expression data with respect to a set of secondary data...

Maximum Entropy Methods for Biological Sequence Modeling (2001)

Buehler, Eugen C, Ungar, Lyle H

Many of the same modeling methods used in natural languages, specifically Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, natural language models...

Maximum entropy methods for biological sequence modeling (2001)

Eugen C. Buehler, Lyle H. Ungar

Many of the same modeling methods used in natural languages, specifically Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, natural language...

Maximum entropy methods for biological sequence modeling (2001)

Eugen C. Buehler, Lyle H. Ungar

Many of the same modeling methods used in natural languages, specifically Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, natural language...

Maximum entropy methods for biological sequence modeling (2001)

Eugen C. Buehler

Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, natural language models...