Genevera I. Allen

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	Wszystkie	Od 2019
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zhandong liuAssociate Professor, Baylor College of MedicineZweryfikowany adres z bcm.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Eunho YangKAISTZweryfikowany adres z kaist.ac.kr
Manjari NarayanPostdoctoral Research Fellow, Stanford UniversityZweryfikowany adres z stanford.edu
Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityZweryfikowany adres z stanford.edu
Andersen ChangRice UniversityZweryfikowany adres z rice.edu
Michael WeylandtZicklin School of Business, Baruch College, CUNYZweryfikowany adres z baruch.cuny.edu
Tianyi YaoData Scientist II, MicrosoftZweryfikowany adres z microsoft.com
Lili ZhengRice UniversityZweryfikowany adres z rice.edu
Eric C. ChiAssociate Professor of Statistics, Rice UniversityZweryfikowany adres z rice.edu
Minjie WangUniversity of MinnesotaZweryfikowany adres z umn.edu
Luqin GanRice UniversityZweryfikowany adres z rice.edu
Zhengwu ZhangUniversity of North Carolina at Chapel HillZweryfikowany adres z email.unc.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityZweryfikowany adres z rice.edu
David I. InouyeAssistant Professor, Purdue UniversityZweryfikowany adres z purdue.edu
Giuseppe VinciAssistant Professor, ACMS, University of Notre DameZweryfikowany adres z nd.edu
Gautam DasarathyAssistant Professor, Electrical Engineering, Arizona State UniversityZweryfikowany adres z asu.edu
Tiffany M. TangDepartment of Applied and Computational Mathematics and Statistics, University of Notre DameZweryfikowany adres z nd.edu

Obserwuj

Genevera I. Allen

Columbia University

Zweryfikowany adres z columbia.edu

statistical machine learning neuroscience


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Graphical models via univariate exponential family distributions E Yang, P Ravikumar, GI Allen, Z Liu The Journal of Machine Learning Research 16 (1), 3813-3847, 2015	212	2015
Graphical models via generalized linear models E Yang, G Allen, Z Liu, P Ravikumar Advances in neural information processing systems 25, 2012	195	2012
A review of multivariate distributions for count data derived from the Poisson distribution DI Inouye, E Yang, GI Allen, P Ravikumar Wiley Interdisciplinary Reviews: Computational Statistics 9 (3), e1398, 2017	168	2017
A generalized least-square matrix decomposition GI Allen, L Grosenick, J Taylor Journal of the American Statistical Association 109 (505), 145-159, 2014	155	2014
TCGA2STAT: simple TCGA data access for integrated statistical analysis in R YW Wan, GI Allen, Z Liu Bioinformatics 32 (6), 952-954, 2016	153	2016
Transposable regularized covariance models with an application to missing data imputation GI Allen, R Tibshirani The Annals of Applied Statistics 4 (2), 764, 2010	152	2010
Sparse higher-order principal components analysis G Allen Artificial intelligence and statistics, 27-36, 2012	140	2012
Convex biclustering EC Chi, GI Allen, RG Baraniuk Biometrics 73 (1), 10-19, 2017	138	2017
Mixed Graphical Models via Exponential Families E Yang, Y Baker, P Ravikumar, G Allen, Z Liu Proceedings of the Seventeenth International Conference on Artificial …, 2014	137	2014
A Local Poisson Graphical Model for Inferring Networks From Sequencing Data GI Allen, Z Liu IEEE Transactions on NanoBioscience 12 (3), 189-198, 2013	118	2013
On Poisson graphical models E Yang, PK Ravikumar, GI Allen, Z Liu Advances in neural information processing systems 26, 2013	102	2013
Tensor network factorizations: Relationships between brain structural connectomes and traits Z Zhang, GI Allen, H Zhu, D Dunson Neuroimage 197, 330-343, 2019	94*	2019
Automatic feature selection via weighted kernels and regularization GI Allen Journal of Computational and Graphical Statistics 22 (2), 284-299, 2013	91	2013
A log-linear graphical model for inferring genetic networks from high-throughput sequencing data GI Allen, Z Liu 2012 IEEE international conference on bioinformatics and biomedicine, 1-6, 2012	87	2012
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ... Alzheimer's & Dementia 12 (6), 645-653, 2016	86	2016
Surgical outcomes and complications associated with presurgical tyrosine kinase inhibition for advanced renal cell carcinoma (RCC) LC Harshman, RJ Yu, GI Allen, S Srinivas, HS Gill, BI Chung Urologic Oncology: Seminars and Original Investigations 31 (3), 379-385, 2013	85	2013
Molecular pathway identification using biological network-regularized logistic models W Zhang, Y Wan, GI Allen, K Pang, ML Anderson, Z Liu BMC genomics 14, 1-8, 2013	78	2013
Sparse non-negative generalized PCA with applications to metabolomics GI Allen, M Maletić-Savatić Bioinformatics 27 (21), 3029-3035, 2011	78	2011
Imaging genetics via sparse canonical correlation analysis EC Chi, GI Allen, H Zhou, O Kohannim, K Lange, PM Thompson 2013 IEEE 10th International Symposium on Biomedical Imaging, 740-743, 2013	61	2013
Regularized partial least squares with an application to NMR spectroscopy GI Allen, C Peterson, M Vannucci, M Maletić‐Savatić Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (4 …, 2013	54	2013

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