SFA 1.0 – Sparse Factor Analysis

SFA 1.0

:: DESCRIPTION

SFA (Sparse Factor Analysis) uses ECME to compute a sparse, low-rank matrix factorization for a given matrix.

::DEVELOPER

Matthew Stephens Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac

:: DOWNLOAD

SFA

:: MORE INFORMATION

Citation

Engelhardt BE, Stephens M (2010)
Analysis of population structure: a unifying framework and novel methods based on sparse factor analysis.
PLoS Genetics 6(9):e1001117.