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Comparison of strategies for scalable causal discovery of latent variable models from mixed data.

V. Raghu, J. Ramsey, A. Morris, D. Manatakis, P. Spirtes, P. Chrysanthis, C. Glymour, and P. Benos. Int. J. Data Sci. Anal., 6 (1): 33-45 (2018)

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Vineet Sinha

Vineet Rao

Vikram Singh Raghuwanshi

Raghu Bhushan

Raghu Chaliganti

Other publications of authors with the same name

T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes.G. Huang, I. Tsamardinos, V. Raghu, N. Kaminski, and P. Benos. Pacific Symposium on Biocomputing, page 431-442. (2015)Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis.A. Sedgewick, K. Buschur, I. Shi, J. Ramsey, V. Raghu, D. Manatakis, Y. Zhang, J. Bon, D. Chandra, C. Karoleski and 4 other author(s). Bioinform., 35 (7): 1204-1212 (2019)piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks.D. Manatakis, V. Raghu, and P. Benos. Bioinform., 34 (17): i848-i856 (2018)A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images.Y. Chen, M. Lu, and V. Raghu. MIDL, volume 227 of Proceedings of Machine Learning Research, page 1826-1858. PMLR, (2023)Evaluation of Causal Structure Learning Methods on Mixed Data Types.V. Raghu, A. Poon, and P. Benos. CD@KDD, volume 92 of Proceedings of Machine Learning Research, page 48-65. PMLR, (2018)Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis.V. Raghu, X. Ge, P. Chrysanthis, and P. Benos. ICDE, page 1525-1532. IEEE Computer Society, (2017)A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data.V. Raghu, X. Ge, A. Balajiee, D. Shirer, I. Das, P. Benos, and P. Chrysanthis. IEEE ACM Trans. Comput. Biol. Bioinform., 18 (3): 811-822 (2021)CausalMGM: an interactive web-based causal discovery tool.X. Ge, V. Raghu, P. Chrysanthis, and P. Benos. Nucleic Acids Res., 48 (Webserver-Issue): W597-W602 (2020)Comparison of strategies for scalable causal discovery of latent variable models from mixed data.V. Raghu, J. Ramsey, A. Morris, D. Manatakis, P. Spirtes, P. Chrysanthis, C. Glymour, and P. Benos. Int. J. Data Sci. Anal., 6 (1): 33-45 (2018)

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Disambiguation of "Raghu, Vineet K."

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Comparison of strategies for scalable causal discovery of latent variable models from mixed data.

Please choose a person to relate this publication to

Vineet Sinha

Vineet Rao

Vikram Singh Raghuwanshi

Raghu Bhushan

Raghu Chaliganti

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Raghu, Vineet K."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comparison of strategies for scalable causal discovery of latent variable models from mixed data.

Please choose a person to relate this publication to

Vineet Sinha

Vineet Rao

Vikram Singh Raghuwanshi

Raghu Bhushan

Raghu Chaliganti

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

Comparison of strategies for scalable causal discovery of latent variable models from mixed data.