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Context-specific Bayesian networks (i.e.
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Keller: estimating time-varying interactions between genes
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Personalized lifetime financial planning tool, June 24 2010
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Metalearning
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Treegl: reverse engineering tree-evolving gene networks underlying developing biological lineages
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Context-specific independence in bayesian networks
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Molecular testing guideline for selection of lung cancer patients for EGFR and ALK tyrosine kinase inhibitors: guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology
N. I. Lindeman, P. T. Cagle, M. B. Beasley, D. A. Chitale, S. Dacic, G. Giaccone, R. B. Jenkins, D. J. Kwiatkowski, J.-S. Saldivar, J. Squire, E. Thunnissen, and M. Ladanyi · 2013
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Learning mixtures of dag models
B. Thiesson, C. Meek, D. M. Chickering, and D. Heckerman · 2013
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Integrated systems approach identifies genetic nodes and networks in late-onset alzheimer’s disease
B. Zhang, C. Gaiteri, L.-G. Bodea, Z. Wang, J. McElwee, A. A. Podtelezhnikov, C. Zhang, T. Xie, L. Tran, R. Dobrin, E. Fluder, B. Clurman, S. Melquist, M. Narayanan, C. Suver, H. Shah, M. Mahajan, T. Gillis, J. Mysore, M. E. MacDonald, J. R. Lamb, D. A. Bennett, C. Molony, D. J. Stone, V. Gudnason, A. J. Myers, E. E. Schadt, H. Neumann, J. Zhu, and V. Emilsson · 2013
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Cosmic: exploring the world’s knowledge of somatic mutations in human cancer
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Computational analysis of cell-to-cell heterogeneity in single-cell rna-sequencing data reveals hidden subpopulations of cells
F. Buettner, K. N. Natarajan, F. P. Casale, V. Proserpio, A. Scialdone, F. J. Theis, S. A. Teichmann, J. C. Marioni, and O. Stegle · 2015
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Causal network perturbations for instance-specific analysis of single cell and disease samples
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High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell
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Bayesian joint estimation of multiple graphical models
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An empirical investigation of instance-specific causal bayesian network learning
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Learning sample-specific models with low-rank personalized regression
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Maximum likelihood estimation for learning populations of parameters
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Contextual explanation networks
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An instance-specific algorithm for learning the structure of causal bayesian networks containing latent variables
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Bayesian joint inference for multiple directed acyclic graphs
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Causal structure discovery from distributions arising from mixtures of dags
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Massively parallel phenotyping of variant impact in cancer with perturb-seq reveals a shift in the spectrum of cell states induced by somatic mutations
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