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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|April 4, 2002
Combining location and expression data for principled discovery of genetic regulatory network modelsAlexander J Hartemink, David K Gifford, Tommi S Jaakkola, et al.Plos Computational Biology|August 19, 2007
Automated discovery of functional generality of human gene expression programsGeorg K Gerber, Robin D Dowell, Tommi S Jaakkola, et al.Proceedings of the National Academy of Sciences of the United States of America|August 23, 2003
Comparing the continuous representation of time-series expression profiles to identify differentially expressed genesZiv Bar-Joseph, Georg Gerber, Itamar Simon, et al.Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 26, 2003
Continuous representations of time-series gene expression dataZiv Bar-Joseph, Georg K Gerber, David K Gifford, et al.ACS Central Science|June 3, 2017
Prediction of Organic Reaction Outcomes Using Machine LearningConnor W Coley, Regina Barzilay, Tommi S Jaakkola, et al.Journal of Chemical Information and Modeling|July 12, 2017
Convolutional Embedding of Attributed Molecular Graphs for Physical Property PredictionConnor W Coley, Regina Barzilay, William H Green, et al.Bioinformatics (Oxford, England)|June 13, 2003
K-ary clustering with optimal leaf ordering for gene expression dataZiv Bar-Joseph, Erik D Demaine, David K Gifford, et al.Bioinformatics (Oxford, England)|July 29, 2006
Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryoYuan Qi, Patrycja E Missiuro, Ashish Kapoor, et al.Bioinformatics (Oxford, England)|October 23, 2010
Discovering homotypic binding events at high spatial resolutionYuchun Guo, Georgios Papachristoudis, Robert C Altshuler, et al.Chemical Science|February 13, 2019
A graph-convolutional neural network model for the prediction of chemical reactivityConnor W Coley, Wengong Jin, Luke Rogers, et al.Pageof 2