Vineet K. Raghu

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 10

Top Topics

Biomedical Data

Gene Expression Data Analysis

Causal Discovery

Graphical Models

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Yanru Chen, Michael T. Lu, Vineet K. Raghu
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images. CoRR (2023)
Yanru Chen, Michael T. Lu, Vineet K. Raghu
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images. MIDL (2023)
Vineet K. Raghu, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis
A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Vineet K. Raghu, Xiaoyu Ge, Arun Balajee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data. CoRR (2020)
Xiaoyu Ge, Vineet K. Raghu, Panos K. Chrysanthis, Panayiotis V. Benos
CausalMGM: an interactive web-based causal discovery tool. Nucleic Acids Res. 48 (Webserver-Issue) (2020)
Andrew J. Sedgewick, Kristina Buschur, Ivy Shi, Joseph D. Ramsey, Vineet K. Raghu, Dimitris V. Manatakis, Yingze Zhang, Jessica Bon, Divay Chandra, Chad Karoleski, Frank C. Sciurba, Peter Spirtes, Clark Glymour, Panayiotis V. Benos
Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis. Bioinform. 35 (7) (2019)
Vineet K. Raghu, Allen Poon, Panayiotis V. Benos
Evaluation of Causal Structure Learning Methods on Mixed Data Types. CD@KDD (2018)
Dimitris V. Manatakis, Vineet K. Raghu, Panayiotis V. Benos
piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks. Bioinform. 34 (17) (2018)
Vineet K. Raghu, Joseph D. Ramsey, Alison Morris, Dimitrios V. Manatakis, Peter Spirtes, Panos K. Chrysanthis, Clark Glymour, Panayiotis V. Benos
Comparison of strategies for scalable causal discovery of latent variable models from mixed data. Int. J. Data Sci. Anal. 6 (1) (2018)
Vineet K. Raghu, Xiaoyu Ge, Panos K. Chrysanthis, Panayiotis V. Benos
Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis. ICDE (2017)
Grace T. Huang, Ioannis Tsamardinos, Vineet K. Raghu, Naftali Kaminski, Panayiotis V. Benos
T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes. Pacific Symposium on Biocomputing (2015)