MirZ: an integrated microRNA expression atlas and target prediction resource (2009)
Hausser, Jean, Berninger, Philipp, Rodak, Christoph, Jantscher, Yvonne, Wirth, Stefan, Zavolan, Mihaela
MicroRNAs (miRNAs) are short RNAs that act as guides for the degradation and translational repression of protein-coding mRNAs. A large body of work showed that miRNAs are involved in the regulation...
Hausser, Jean, Landthaler, Markus, Jaskiewicz, Lukasz, Gaidatzis, Dimos, Zavolan, Mihaela
How miRNAs recognize their target sites is a puzzle that many experimental and computational studies aimed to solve. Several features, such as perfect pairing of the miRNA seed, additional pairing in...
Hausser, Jean, Strimmer, Korbinian
We present a procedure for effective estimation of entropy and mutual information from small-sample data, and apply it to the problem of inferring high-dimensional gene association networks....
Correction: Inference of miRNA targets using evolutionary conservation and pathway analysis (2007)
Gaidatzis, Dimos, Van Nimwegen, Erik, Hausser, Jean, Zavolan, Mihaela
No abstract available.
Inference of miRNA targets using evolutionary conservation and pathway analysis (2007)
Gaidatzis, Dimos, Van Nimwegen, Erik, Hausser, Jean, Zavolan, Mihaela
Abstract Background MicroRNAs have emerged as important regulatory genes in a variety of cellular processes and, in recent years, hundreds of such genes have been discovered in animals. In contrast,...
Bmc Bioinformatics, Dimos Gaidatzis, Erik Van Nimwegen, Jean Hausser, Mihaela Zavolan
Inference of miRNA targets using evolutionary conservation and
Improving Entropy Estimation and the Inference of Genetic Regulatory Networks (2006)
Jean Hausser, Dépt Biosciences, Bâtiment Louis Pasteur, Avenue Jean Capelle
This paper explores how entropy and other information theoretic quantities may be used to reverseengineer genetic regulatory networks from repeated microarray data. The problem of differentiating...
Improving Entropy Estimation and the Inference of Genetic Regulatory Networks (2006)
Jean Hausser, Dépt Biosciences, Bâtiment Louis Pasteur, Avenue Jean Capelle
This paper explores how entropy and other information theoretic quantities may be used to reverseengineer genetic regulatory networks from repeated microarray data. The problem of differentiating...
Inference of miRNA targets using evolutionary conservation and pathway analysis
Gaidatzis, Dimos, Van Nimwegen, Erik, Hausser, Jean, Zavolan, Mihaela
Inference of miRNA targets using evolutionary conservation and pathway analysis
Gaidatzis, Dimos, Van Nimwegen, Erik, Hausser, Jean, Zavolan, Mihaela
miR-375 maintains normal pancreatic α- and β-cell mass
Poy, Matthew N., Hausser, Jean, Trajkovski, Mirko, Braun, Matthias, Collins, Stephan, Rorsman, Patrik, ...
Altered growth and development of the endocrine pancreas is a frequent cause of the hyperglycemia associated with diabetes. Here we show that microRNA-375 (miR-375), which is highly expressed in...
MirZ: an integrated microRNA expression atlas and target prediction resource
Hausser, Jean, Berninger, Philipp, Rodak, Christoph, Jantscher, Yvonne, Wirth, Stefan, Zavolan, Mihaela
MicroRNAs (miRNAs) are short RNAs that act as guides for the degradation and translational repression of protein-coding mRNAs. A large body of work showed that miRNAs are involved in the regulation...