Edoardo M. Airoldi, Ph.D. - Publications

2006 Carnegie Mellon University, Pittsburgh, PA 
Computer Science, Statistics, Bioinformatics Biology

53 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Airoldi EM, Miller D, Athanasiadou R, Brandt N, Abdul-Rhaman F, Neymotin B, Hashimoto T, Bahmani T, Gresham D. Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen. Molecular Biology of the Cell. PMID 26941329 DOI: 10.1091/mbc.E14-05-1013  0.84
2016 Volfovsky A, Airoldi EM. Sharp total variation bounds for finitely exchangeable arrays Statistics and Probability Letters. 114: 54-59. DOI: 10.1016/j.spl.2016.02.013  0.84
2015 Wallace EW, Kear-Scott JL, Pilipenko EV, Schwartz MH, Laskowski PR, Rojek AE, Katanski CD, Riback JA, Dion MF, Franks AM, Airoldi EM, Pan T, Budnik BA, Drummond DA. Reversible, Specific, Active Aggregates of Endogenous Proteins Assemble upon Heat Stress. Cell. 162: 1286-98. PMID 26359986 DOI: 10.1016/j.cell.2015.08.041  0.84
2015 Airoldi EM, Toulis P. Scalable estimation strategies based on stochastic approximations: Classical results and new insights. Statistics and Computing. 25: 781-795. PMID 26139959 DOI: 10.1007/s11222-015-9560-y  0.84
2015 Phan TQ, Airoldi EM. A natural experiment of social network formation and dynamics. Proceedings of the National Academy of Sciences of the United States of America. 112: 6595-600. PMID 25964337 DOI: 10.1073/pnas.1404770112  0.84
2015 Franks AM, Csárdi G, Drummond DA, Airoldi EM. Estimating a structured covariance matrix from multi-lab measurements in high-throughput biology. Journal of the American Statistical Association. 110: 27-44. PMID 25954056 DOI: 10.1080/01621459.2014.964404  0.84
2015 Csárdi G, Franks A, Choi DS, Airoldi EM, Drummond DA. Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast. Plos Genetics. 11: e1005206. PMID 25950722 DOI: 10.1371/journal.pgen.1005206  0.84
2015 Rameseder J, Krismer K, Dayma Y, Ehrenberger T, Hwang MK, Airoldi EM, Floyd SR, Yaffe MB. A Multivariate Computational Method to Analyze High-Content RNAi Screening Data. Journal of Biomolecular Screening. PMID 25918037 DOI: 10.1177/1087057115583037  0.84
2015 Silva R, Kang SM, Airoldi EM. Predicting traffic volumes and estimating the effects of shocks in massive transportation systems. Proceedings of the National Academy of Sciences of the United States of America. 112: 5643-8. PMID 25902504 DOI: 10.1073/pnas.1412908112  0.84
2015 Katz Y, Wang ET, Silterra J, Schwartz S, Wong B, Thorvaldsdóttir H, Robinson JT, Mesirov JP, Airoldi EM, Burge CB. Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics (Oxford, England). 31: 2400-2. PMID 25617416 DOI: 10.1093/bioinformatics/btv034  0.84
2015 Fox EB, Dunson DB, Airoldi EM. Bayesian nonparametric covariance regression Journal of Machine Learning Research. 16: 2501-2542.  0.84
2015 Han Q, Xu KS, Airoldi EM. Consistent estimation of dynamic and multi-layer block models 32nd International Conference On Machine Learning, Icml 2015. 2: 1511-1520.  0.84
2015 Tran D, Blei DM, Airoldi EM. Copula variational inference Advances in Neural Information Processing Systems. 2015: 3564-3572.  0.84
2014 Airoldi EM, Costa T, Bassetti F, Leisen F, Guindani M. Generalized species sampling priors with latent Beta reinforcements. Journal of the American Statistical Association. 109: 1466-1480. PMID 25870462 DOI: 10.1080/01621459.2014.950735  0.84
2014 Katz Y, Li F, Lambert NJ, Sokol ES, Tam WL, Cheng AW, Airoldi EM, Lengner CJ, Gupta PB, Yu Z, Jaenisch R, Burge CB. Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell state. Elife. 3: e03915. PMID 25380226 DOI: 10.7554/eLife.03915  0.84
2014 Slavov N, Budnik BA, Schwab D, Airoldi EM, van Oudenaarden A. Constant growth rate can be supported by decreasing energy flux and increasing aerobic glycolysis. Cell Reports. 7: 705-14. PMID 24767987 DOI: 10.1016/j.celrep.2014.03.057  0.84
2014 Toulis P, Rennie J, Airoldi EM. Statistical analysis of stochastic gradient methods for generalized linear models 31st International Conference On Machine Learning, Icml 2014. 3: 2128-2136.  0.84
2014 Chan SH, Airoldi EM. A consistent histogram estimator for exchangeable graph models 31st International Conference On Machine Learning, Icml 2014. 1: 360-368.  0.84
2014 Yang JJ, Han Q, Airoldi EM. Nonparametric estimation and testing of exchangeable graph models Journal of Machine Learning Research. 33: 1060-1067.  0.84
2014 Azizi E, Airoldi EM, Galagan JE. Learning modular structures from network data and node variables 31st International Conference On Machine Learning, Icml 2014. 4: 3300-3308.  0.84
2013 Airoldi EM, Wang X, Lin X. MULTI-WAY BLOCKMODELS FOR ANALYZING COORDINATED HIGH-DIMENSIONAL RESPONSES. The Annals of Applied Statistics. 7: 2431-2457. PMID 24587846 DOI: 10.1214/13-AOAS643  0.84
2013 Geiler-Samerotte KA, Hashimoto T, Dion MF, Budnik BA, Airoldi EM, Drummond DA. Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates. Plos One. 8: e75320. PMID 24086506 DOI: 10.1371/journal.pone.0075320  0.84
2013 Wallace EW, Airoldi EM, Drummond DA. Estimating selection on synonymous codon usage from noisy experimental data. Molecular Biology and Evolution. 30: 1438-53. PMID 23493257 DOI: 10.1093/molbev/mst051  0.84
2013 Chan SH, Costa TB, Airoldi EM. Estimation of exchangeable graph models by stochastic blockmodel approximation 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 293-296. DOI: 10.1109/GlobalSIP.2013.6736873  0.84
2013 Airoldi EM, Blocker AW. Estimating latent processes on a network from indirect measurements Journal of the American Statistical Association. 108: 149-164. DOI: 10.1080/01621459.2012.756328  0.84
2013 Airoldi EM, Costa TB, Chan SH. Stochastic blockmodel approximation of a graphon: Theory and consistent estimation Advances in Neural Information Processing Systems 0.84
2012 Slavov N, Airoldi EM, van Oudenaarden A, Botstein D. A conserved cell growth cycle can account for the environmental stress responses of divergent eukaryotes. Molecular Biology of the Cell. 23: 1986-97. PMID 22456505 DOI: 10.1091/mbc.E11-11-0961  0.84
2012 Choi DS, Wolfe PJ, Airoldi EM. Stochastic blockmodels with a growing number of classes Biometrika. 99: 273-284. DOI: 10.1093/biomet/asr053  0.84
2012 Bischof JM, Airoldi EM. Summarizing topical content with word frequency and exclusivity Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 201-208.  0.84
2012 Azari H, Airoldi EM. Graphlet decomposition of a weighted network Journal of Machine Learning Research. 22: 54-63.  0.84
2011 Shieh AD, Hashimoto TB, Airoldi EM. Tree preserving embedding. Proceedings of the National Academy of Sciences of the United States of America. 108: 16916-21. PMID 21949369 DOI: 10.1073/pnas.1018393108  0.84
2011 Airoldi EM, Heller KA, Silva R. Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. Bioinformatics (Oxford, England). 27: i374-82. PMID 21685095 DOI: 10.1093/bioinformatics/btr236  0.84
2011 Airoldi EM, Bai X, Carley KM. Network Sampling and Classification:An Investigation of Network Model Representations. Decision Support Systems. 51: 506-518. PMID 21666773 DOI: 10.1016/j.dss.2011.02.014  0.84
2011 Airoldi EM, Bai X, Malin BA. An Entropy Approach to Disclosure Risk Assessment: Lessons from Real Applications and Simulated Domains. Decision Support Systems. 51: 10-20. PMID 21647242 DOI: 10.1016/j.dss.2010.11.014  0.84
2011 Choi DS, Wolfe P, Airoldi EM. Confidence sets for network structure Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. DOI: 10.1002/sam.10136  0.84
2011 Airoldi EM, Haas B. Polytope samplers for inference in ill-posed inverse problems Journal of Machine Learning Research. 15: 110-118.  0.84
2010 Silva R, Heller K, Ghahramani Z, Airoldi EM. RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS. The Annals of Applied Statistics. 4: 615-644. PMID 24587838 DOI: 10.1214/09-AOAS321  0.84
2010 Markowetz F, Mulder KW, Airoldi EM, Lemischka IR, Troyanskaya OG. Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells. Plos Computational Biology. 6: e1001034. PMID 21187909 DOI: 10.1371/journal.pcbi.1001034  0.84
2010 Airoldi EM, Erosheva EA, Fienberg SE, Joutard C, Love T, Shringarpure S. Reconceptualizing the classification of PNAS articles. Proceedings of the National Academy of Sciences of the United States of America. 107: 20899-904. PMID 21078953 DOI: 10.1073/pnas.1013452107  0.84
2010 Katz Y, Wang ET, Airoldi EM, Burge CB. Analysis and design of RNA sequencing experiments for identifying isoform regulation. Nature Methods. 7: 1009-15. PMID 21057496 DOI: 10.1038/nmeth.1528  0.84
2009 Lu R, Markowetz F, Unwin RD, Leek JT, Airoldi EM, MacArthur BD, Lachmann A, Rozov R, Ma'ayan A, Boyer LA, Troyanskaya OG, Whetton AD, Lemischka IR. Systems-level dynamic analyses of fate change in murine embryonic stem cells. Nature. 462: 358-62. PMID 19924215 DOI: 10.1038/nature08575  0.84
2009 Airoldi EM, Huttenhower C, Gresham D, Lu C, Caudy AA, Dunham MJ, Broach JR, Botstein D, Troyanskaya OG. Predicting cellular growth from gene expression signatures. Plos Computational Biology. 5: e1000257. PMID 19119411 DOI: 10.1371/journal.pcbi.1000257  0.84
2009 Barutcuoglu Z, Airoldi EM, Dumeaux V, Schapire RE, Troyanskaya OG. Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields. Bioinformatics (Oxford, England). 25: 1307-13. PMID 19052061 DOI: 10.1093/bioinformatics/btn585  0.84
2009 Goldenberg A, Zheng AX, Fienberg SE, Airoldi EM. A survey of statistical network models Foundations and Trends in Machine Learning. 2: 129-233. DOI: 10.1561/2200000005  0.84
2009 Airoldi EM, Blei DM, Fienberg SE, Xing EP. Mixed membership stochastic blockmodels Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 34-41.  0.84
2008 Airoldi EM, Blei DM, Fienberg SE, Xing EP. Mixed Membership Stochastic Blockmodels. Journal of Machine Learning Research : Jmlr. 9: 1981-2014. PMID 21701698  0.84
2008 Brauer MJ, Huttenhower C, Airoldi EM, Rosenstein R, Matese JC, Gresham D, Boer VM, Troyanskaya OG, Botstein D. Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast. Molecular Biology of the Cell. 19: 352-67. PMID 17959824 DOI: 10.1091/mbc.E07-08-0779  0.84
2008 Warren RH, Airoldi EM, Banks DL. Network Analysis of Wikipedia Statistical Methods in E-Commerce Research. 81-102. DOI: 10.1002/9780470315262.ch5  0.84
2007 Airoldi EM. Getting started in probabilistic graphical models. Plos Computational Biology. 3: e252. PMID 18069887 DOI: 10.1371/journal.pcbi.0030252  0.84
2007 Padman R, Bai X, Airoldi EM. A new machine learning classifier for high dimensional healthcare data. Studies in Health Technology and Informatics. 129: 664-8. PMID 17911800  0.84
2007 Airoldi EM, Fienberg SE, Skinner KK. Whose ideas? Whose words? Authorship of Ronald Reagan's radio addresses Ps - Political Science and Politics. 40: 501-506. DOI: 10.1017/S1049096507070874  0.84
2007 Airoldi EM, Blei DM, Fienberg SE, Xing EP. Combining stochastic block models and mixed membership for statistical network analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4503: 57-74.  0.84
2006 Airoldi EM, Anderson AG, Fienberg SE, Skinner KK. Who wrote ronald Reagan's radio addresses? Bayesian Analysis. 1: 289-320. DOI: 10.1214/06-BA110  0.84
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