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Bioinformatics (Oxford, England)|June 22, 2012
miRcode: a map of putative microRNA target sites in the long non-coding transcriptomeAshwini Jeggari, Debora S Marks, Erik LarssonMolecular Systems Biology|April 21, 2010
Target mRNA abundance dilutes microRNA and siRNA activityAaron Arvey, Erik Larsson, Chris Sander, et al.BMC Bioinformatics|April 1, 2017
NEArender: an R package for functional interpretation of 'omics' data via network enrichment analysisAshwini Jeggari, Andrey AlexeyenkoScientific Reports|February 22, 2019
Prediction of response to anti-cancer drugs becomes robust via network integration of molecular dataMarcela Franco, Ashwini Jeggari, Sylvain Peuget, et al.Nucleic Acids Research|June 13, 2018
EviNet: a web platform for network enrichment analysis with flexible definition of gene setsAshwini Jeggari, Zhanna Alekseenko, Iurii Petrov, et al.Methods in Molecular Biology (Clifton, N.J.)|September 8, 2006
Prediction of human microRNA targetsBino John, Chris Sander, Debora S MarksNature Biotechnology|November 10, 2012
Protein structure prediction from sequence variationDebora S Marks, Thomas A Hopf, Chris SanderPlos Computational Biology|July 31, 2015
Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability ModelsRichard R Stein, Debora S Marks, Chris SanderAmerican Journal of Human Genetics|November 19, 2024
Toward trustable use of machine learning models of variant effects in the clinicMafalda Dias, Rose Orenbuch, Debora S Marks, et al.Biorxiv : the Preprint Server for Biology|December 18, 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric TransformersPascal Notin, Debora S Marks, Ruben Weitzman, et al.Pageof 31