Madduri, Ravi

Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program

Verma, A., Huffman, J. E., Rodriguez, A., Conery, M., Liu, M., Ho, Y.-L., Kim, Y., Heise, D. A., Guare, L., Panickan, V. A., et al. (2024) · Science

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 463

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Mullins, N., Kang, J., Campos, A. I., Coleman, J. R. I., Edwards, A. C., Galfalvy, H., Levey, D. F., Lori, A., Shabalin, A., Starnawska, A., et al. (2022) · Biological Psychiatry

Suicide and Self-Harm StudiesGenetic Associations and Epidemiology

Cited by 238

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

Docherty, A. R., Mullins, N., Ashley-Koch, A. E., Qin, X., Coleman, J. R. I., Shabalin, A., Kang, J., Murnyak, B., Wendt, F., Adams, M., et al. (2023) · American Journal of Psychiatry

Genetic Associations and EpidemiologySuicide and Self-Harm Studies

Cited by 160

Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

Dinov, I. D., Heavner, B., Tang, M., Glusman, G., Chard, K., Darcy, M., Madduri, R., Pa, J., Spino, C., Kesselman, C., et al. (2016) · PLOS ONE

Artificial Intelligence in HealthcareParkinson's Disease Mechanisms and Treatments

Cited by 145

Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses

Liu, B., Madduri, R. K., Sotomayor, B., Chard, K., Lacinski, L., Dave, U. J., Li, J., Liu, C., & Foster, I. T. (2014) · Journal of Biomedical Informatics

Scientific Computing and Data ManagementCloud Computing and Resource Management

Cited by 81

Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services

Madduri, R. K., Sulakhe, D., Lacinski, L., Liu, B., Rodriguez, A., Chard, K., Dave, U. J., & Foster, I. T. (2014) · Concurrency and Computation: Practice and Experience

Scientific Computing and Data ManagementCloud Computing and Resource Management

Cited by 73

Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models

Carrillo-Perez, F., Pizurica, M., Zheng, Y., Nandi, T. N., Madduri, R., Shen, J., & Gevaert, O. (2024) · Nature Biomedical Engineering

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 37

AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI

Hiniduma, K., Byna, S., Bez, J. L., & Madduri, R. (2024) · Proceedings of the 36th International Conference on Scientific and Statistical Database Management

Data Quality and ManagementMachine Learning and Data Classification

Cited by 15

TFXcan reveals transcription factor programs driving GWAS loci

Adeluwa, T., Salazar-Magaña, S., Sumner, S., Gona, S., Nyasimi, F., Carbonetto, P., Baca, S. C., Freedman, M., Gusev, A., Liu, B., et al. (2026) · Cell Genomics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 0