readSpfabiaResult

the file prefix name of the result files of spfabia.

<p></p><p>  <code>readSpfabiaResult</code>: C implementation of  <code>readSpfabiaResult</code>.
</p>

multivariate

methods

cluster

Biclustering by "Factor Analysis for Bicluster
Acquisition" (FABIA). FABIA is a model-based technique for
biclustering, that is clustering rows and columns
simultaneously. Biclusters are found by factor analysis where
both the factors and the loading matrix are sparse. FABIA is a
multiplicative model that extracts linear dependencies between
samples and feature patterns. It captures realistic
non-Gaussian data distributions with heavy tails as observed in
gene expression measurements. FABIA utilizes well understood
model selection techniques like the EM algorithm and
variational approaches and is embedded into a Bayesian
framework. FABIA ranks biclusters according to their
information content and separates spurious biclusters from true
biclusters. The code is written in C.

Sepp Hochreiter

fabia

FABIA: Factor Analysis for Bicluster Acquisition

readSpfabiaResult function

<code>readSpfabiaResult</code>: C implementation of  <code>readSpfabiaResult</code>.

Factor Analysis for Bicluster Acquisition: Read Results of SpFabia

object of the class <code>Factorization</code>. Containing
  <code>L</code> (loadings  $L$),
  <code>Z</code> (factors  $Z$),
  <code>Psi</code> (noise variance $\sigma$),
  <code>lapla</code> (variational parameter),
  <code>avini</code> (the information which the factor
    $z_{ij}$ contains about $x_j$ averaged over $j$)
  <code>xavini</code> (the information which the factor
    $z_{j}$ contains about $x_j$)
  <code>ini</code> (for each $j$ the information which the factor
    $z_{ij}$ contains about $x_j$).

readSpfabiaResult: Factor Analysis for Bicluster Acquisition: Read Results of SpFabia

Description

Usage

Arguments

Value

Details

References

See Also