| Lactic acidosis triggers starvation response with paradoxical induction of TXNIP through MondoA JLY Chen, D Merl, CW Peterson, J Wu, PY Liu, H Yin, DM Muoio, DE Ayer, ... PLoS genetics 6 (9), e1001093, 2010 | 142 | 2010 |
| Scuba: Diving into data at facebook L Abraham, J Allen, O Barykin, V Borkar, B Chopra, C Gerea, D Merl, ... Proceedings of the VLDB Endowment 6 (11), 1057-1067, 2013 | 105 | 2013 |
| Spatial mixture modelling for unobserved point processes: Examples in immunofluorescence histology C Ji, D Merl, TB Kepler, M West Bayesian analysis (Online) 4 (2), 297, 2009 | 62 | 2009 |
| A statistical framework for the adaptive management of epidemiological interventions D Merl, LR Johnson, RB Gramacy, M Mangel PloS One 4 (6), e5807, 2009 | 61 | 2009 |
| In-vitro to in-vivo factor profiling in expression genomics JE Lucas, C Carvalho, D Merl, M West Bayesian Modeling in Bioinformatics: Taylor-Francis, 2008 | 14 | 2008 |
| An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling D Merl, JLY Chen, JT Chi, M West | 13 | 2009 |
| amei: an R package for the Adaptive Management of Epidemiological Interventions D Merl, LR Johnson, RB Gramacy, M Mangel Journal of Statistical Software 36, 1-32, 2010 | 10 | 2010 |
| Comparison of Bayesian, maximum likelihood and parsimony methods for detecting positive selection D Merl, A Escalante, R Prado Report No. AMS2005-03, 2005 | 8 | 2005 |
| Fast map search for compact additive tree ensembles (cate) RJ Prenger, BY Chen, TL Marlatt, DM Merl Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2013 | 7 | 2013 |
| Mixtures of Gaussian wells: Theory, computation, and application I Manolopoulou, TB Kepler, DM Merl Computational statistics & data analysis 56 (12), 3809-3820, 2012 | 4 | 2012 |
| Semisupervised classification of texts using particle learning for probabilistic automata AP Sales, C Challis, R Prenger, D Merl Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2013 | 3 | 2013 |
| Assessing the effect of selection at the amino acid level in malaria antigen sequences through Bayesian generalized linear models D Merl, R Prado, AA Escalante Journal of the American Statistical Association 103 (484), 1496-1507, 2008 | 3 | 2008 |
| Detecting selection in DNA sequences: Bayesian Modelling and Inference D Merl, R Prado Bayesian Statistics 8, Proceedings of the Eighth Valencia International …, 2007 | 2 | 2007 |
| Detecting patterns of natural selection using Bayesian generalized linear models DM Merl University of California, Santa Cruz, 2006 | 2 | 2006 |
| Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression ZR Atkins, CJ Vogl, A Madduri, N Duan, AK Miedlar, D Merl 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 1 | 2021 |
| Advances in Bayesian model based clustering using particle learning DM Merl Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2009 | 1 | 2009 |
| Industrial control system device classification BM Kelley, I Chakraborty, BJ Gallagher, DM Merl US Patent App. 17/860,852, 2023 | | 2023 |
| Performance Evaluation of Network Flow and Device Classification using Network Features and Device Embeddings I Chakraborty, B Kelley, B Gallagher, D Merl Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020 | | 2020 |
| Package ‘amei’ D Merl, MRB Gramacy | | 2013 |
| Modeling the Dynamics of Compromised Networks B Soper, DM Merl Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2011 | | 2011 |
Marc MangelProfessor of Biology Emeritus, University of Bergen; Distinguished Professor of Applied MathematicsVerified email at ucsc.edu
