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Updated: May 21, 2026

Epigenetic Regulation of Cardiac Differentiation of Embryonic Stem Cells and Tissues
Published on: June 3, 2016
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear
Thais G do Rego1, Helge G Roider, Francisco A T de Carvalho
1Center of Informatics, Federal University of Pernambuco, Recife 50740-560, Brazil.
Motivation:
Blood cell development is thought to be controlled by a circuit of transcription factors (TFs) and chromatin modifications that determine the cell fate through activating cell type-specific expression programs. To shed light on the interplay between histone marks and TFs during blood cell development, we model gene expression from regulatory signals by means of combinations of sparse linear regression models.
Results:
The mixture of sparse linear regression models was able to improve the gene expression prediction in relation to the use of a single linear model. Moreover, it performed an efficient selection of regulatory signals even when analyzing all TFs with known motifs (>600). The method identified interesting roles for histone modifications and a selection of TFs related to blood development and chromatin remodelling.
Availability:
The method and datasets are available from http://www.cin.ufpe.br/~igcf/SparseMix.
Contact:
igcf@cin.ufpe.br
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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