Daniel Merl
Title
Cited by
Cited by
Year
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 genet 6 (9), e1001093, 2010
1182010
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
842013
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
562009
A statistical framework for the adaptive management of epidemiological interventions
D Merl, LR Johnson, RB Gramacy, M Mangel
PloS One 4 (6), e5807, 2009
552009
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
142008
An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
D Merl, JLY Chen, JT Chi, M West
The annals of applied statistics 3 (4), 1675, 2009
132009
amei: an R package for the Adaptive Management of Epidemiological Interventions
D Merl, LR Johnson, RB Gramacy, M Mangel
Journal of Statistical Software 36 (6), 1-32, 2010
82010
Comparison of Bayesian, maximum likelihood and parsimony methods for detecting positive selection
D Merl, A Escalante, R Prado
Report No. AMS2005-03, 2005
62005
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
42013
Mixtures of Gaussian wells: Theory, computation, and application
I Manolopoulou, TB Kepler, DM Merl
Computational statistics & data analysis 56 (12), 3809-3820, 2012
42012
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
32013
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
22008
Detecting selection in DNA sequences: Bayesian Modelling and Inference
D Merl, R Prado
Bayesian Statistics 8, Proceedings of the Eighth Valencia International …, 2007
22007
Advances in Bayesian model based clustering using particle learning
DM Merl
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2009
12009
Detecting Patterns of Natural Selection Using Bayesian Generalized Linear Models
DM Merl
University of California, Santa Cruz, 2006
12006
Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression
ZR Atkins, CJ Vogl, A Madduri, N Duan, AK Miedlar, D Merl
arXiv preprint arXiv:2101.04816, 2021
2021
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
Network Traffic Monitoring Using Poisson Dynamic Linear Models
DM Merl
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2011
2011
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Articles 1–20