Predicting transcription factor affinities to DNA from a biophysical model. - Helge G. Roider; Aditi Kanhere; Thomas Manke; Martin Vingron (Bioinform., 2007)

Statistical Modeling of Transcription Factor Binding Affinities Predicts Regulatory Interactions. - Thomas Manke; Helge G. Roider; Martin Vingron (PLoS Comput. Biol., 2008)

PASTAA: identifying transcription factors associated with sets of co-regulated genes. - Helge G. Roider; Thomas Manke; Sean O'Keeffe; Martin Vingron; Stefan A. Haas (Bioinform., 2009)

TransFind - predicting transcriptional regulators for gene sets. - Szymon M. Kielbasa; Holger Klein; Helge G. Roider; Martin Vingron; Nils Blüthgen (Nucleic Acids Res., 2010)

Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models. - Ivan G. Costa; Helge G. Roider; Thaís Gaudencio do Rêgo; Francisco de A. T. de Carvalho (BMC Bioinform., 2011)

Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models. - Thaís Gaudencio do Rêgo; Helge G. Roider; Francisco de A. T. de Carvalho; Ivan G. Costa (Bioinform., 2012)

Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network. - Helge G. Roider; Nadia Pavlova; Ivaylo Kirov; Stoyan Slavov; Todor Slavov; Zlatyo Uzunov; Bertram Weiss (BMC Bioinform., 2014)