Dan Geiger

Computer Science · Physical Sciences

53h-index18.1kcitations167works0.02yr avg
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Research Topics

Bayesian Modeling and Causal Inference(87), Genetic Associations and Epidemiology(24), Genetic Mapping and Diversity in Plants and Animals(18), AI-based Problem Solving and Planning(17), Logic, Reasoning, and Knowledge(17)

Publications167 total

Likelihoods and Parameter Priors for Bayesian Networks
arXiv (Cornell University)·2021· 10 citedOpen Access
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
arXiv (Cornell University)·2021· 102 citedOpen Access
Estimating variance components in population scale family trees
PLoS Genetics·2019· 15 citedOpen Access
Genetic linkage analysis of a large family identifies <i>FIGN</i> as a candidate modulator of reduced penetrance in heritable pulmonary arterial hypertension
Journal of Medical Genetics·2019· 5 citedOpen Access
Fatal thoracic aortic aneurysm and dissection in a large family with a novel MYLK gene mutation: delineation of the clinical phenotype
Orphanet Journal of Rare Diseases·2018· 28 citedOpen Access
Quantitative analysis of population-scale family trees with millions of relatives
Science·2018· 248 citedOpen Access
Sci-LMM is an efficient strategy for inferring genetic variance components using population scale family trees
2018
Estimating variance components in population scale family trees
2018· 4 citedOpen Access
Loss of CD55 in Eculizumab-Responsive Protein-Losing Enteropathy
New England Journal of Medicine·2017· 63 citedOpen Access
THU0364 Immunogenicity of anti-tnf drugs and clinical response in patients with spondyloarthritis
Annals of the Rheumatic Diseases·2017Open Access
Phospholipase A<sub>2</sub>-activating protein is associated with a novel form of leukoencephalopathy
Brain·2016· 22 citedOpen Access
Dependence and Relevance: A probabilistic view
arXiv (Cornell University)·2016Open Access
Multikernel linear mixed models for complex phenotype prediction
Genome Research·2016· 55 citedOpen Access
Accurate liability estimation improves power in ascertained case-control studies
Nature Methods·2015· 42 citedOpen Access
Accurate Liability Estimation Substantially Improves Power in Ascertained Case Control Studies
arXiv (Cornell University)·2014Open Access
Random Algorithms for the Loop Cutset Problem
arXiv (Cornell University)·2014· 15 citedOpen Access
Induced pluripotent stem cells as a model for telomeric abnormalities in ICF type I syndrome
Human Molecular Genetics·2014· 35 citedOpen Access
Titin Mutation in Familial Restrictive Cardiomyopathy
International Journal of Cardiology·2013· 106 cited
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
arXiv (Cornell University)·2013· 139 citedOpen Access
Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks
arXiv (Cornell University)·2013Open Access
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Frequent Co-authors

David Heckerman(13), Judea Pearl(5), Eli Sprecher(5), Margarita Indelman(5), Richard N. Bergman(5), M. Fishelson(4), David M. Chickering(3), Omer Weissbrod(3), Akemi Ishida‐Yamamoto(3), Dani Bercovich(3), Ann Becker(3), Thomas Verma(2), Orit Topaz(2), Ilana Chefetz(2), Stavit A. Shalev(2), Hanna Mandel(2), Christopher Meek(2), Yifat Zivony-Elboum(2), Morad Khayat(2), Robert Kleta(2)