Venkat Suprabath Bitra, Reddy Rani Vangimalla, Jaya Sreevalsan-Nair ”Network-based Diseasome Construction from Multi-omics Data and RadTrix Visualization” July, 2023. IEEE Transactions on Computational Biology and Bioinformatics. [TCBB - Under Review]
Reddy Rani Vangimalla, Jaya Sreevalsan-Nair "Communities and Cliques in Functional Brain Network Using Multiscale Consensus Approach" July, 2022. IEEE Transactions on Neural Systems and Rehabilitation Engineering, PMID: 35820016. DOT:10.1109/TNSRE.2022.3190390
Urvakhsh Meherwan Mehta, Darshan Shadakshari, Pulaparambil Vani, Shalini S Naik, V Kiran Raj, Reddy Rani Vangimalla, YC Janardhan Reddy, Jaya Sreevalsan-Nair, and Rose Dawn Bharath, "Case Report: Obsessive compulsive disorder in posterior cerebellar infarction - illustrating clinical and functional connectivity modulation using MRI-informed transcranial magnetic stimulation." Sep, 2020. Wellcome Open Res 2020, 5:189, PMID: 32995558 PMCID: PMC7503177. DOI:10.12688/wellcomeopenres.16183.2.
Reddy Rani Vangimalla, Hyun-hwan Jeong, Kyung-Ah Sohn. "Integrative regression network for genomic association study". BMC Med Genomics 9, 31 (2016).DOI:10.1186/s12920-016-0192-7.
Reddy Rani Vangimalla, Kyung-Ah Sohn, "Association Networks Constructed from Heterogeneous High-dimensional Genomic Features". Communications of the Korean Institute of Information Scientists and Engineer (KIISE) 32(3):54-60, 2014.
Conferences & Book Chapters
Reddy Rani Vangimalla, and J. Sreevalsan-Nair, “ HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction.” November, 2021. Pressented at 43nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2021) DOI: 10.1109/EMBC46164.2021.9630781.
V. Sridhar, Jaya Sreevalsan-Nair, Pritesh Rajesh Ghogale, and Reddy Rani Vangimalla, "Sharing and Use of Non-Personal Health Information: Case of the COVID-19 Pandemic", Chapter 8, Book - Data Centric Living: Algorithms, Digitization and Regulation, Routledge, Taylor & Francis Group, June, 2021. ISBN 9780367536534.
Reddy Rani Vangimalla, and J. Sreevalsan-Nair, "A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network," July, 2020. Pressented at 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) DOI: 10.1109/EMBC44109.2020.9175622.
Reddy Rani Vangimalla, and J. Sreevalsan-Nair, "Comparing Community Detection Methods in Brain Functional Connectivity Networks,". Springer CCIS, Volume 1213. [Proceedings of ICC3-2019]
Reddy Rani Vangimalla, Hyun-hwan Jeong, Kyung-Ah Sohn. "Integrative regression network for genomic association study" Presented at TBC-2015.
Reddy Rani Vangimalla, Kyung-Ah Sohn, "Discovering genomic associations on cancer datasets by applying sparse regression methods". Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. DOI:10.1007/978-3-662-46578-3_84. [Proceedings of ICISA-2015]
Posters and Doctoral Symposiums
Reddy Rani Vangimalla, and Ankur Pachauri "Leveraging Stochastic Block Model for Uncovering Genomic Associations in Multilayer Networks" December 13, 2024. Abstract presentation MEDLIFE2024 & ICBLS2024 [Abstract](https://sciencepublishinggroup.com/ISBN/979-8-88599- 099-8/018)
Reddy Rani Vangimalla, and J. Sreevalsan-Nair, "Construction and Visualization of Diseasome of Lung Diseases Associated with COVID-19 from Co-association Networks of Multi-omics Data," July, 2020. Poster presentation at 28th Annual International Conferences of Intelligent Systems for Molecular Biology (ISMB 2020, NetBio). DOI:10.7490/f1000research.1118138.1.
J. Sreevalsan-Nair, Reddy Rani Vangimalla, and Pritesh Rajesh Ghogale, "Influence of COVID-19 Transmission Stages and Demographics on Length of In-Hospital Stay in Singapore for the First 1000 Patients," July, 2020. Poster presentation at 28th Annual International Conferences of Intelligent Systems for Molecular Biology (ISMB 2020, COVID-19). DOI:10.7490/f1000research.1118104.1.
Reddy Rani Vangimalla, and J. Sreevalsan-Nair, "Consensus Methods for Network Analysis of Biomedical Data:Case Studies on Brain Functional Connectivity Network and Gene-GeneAssociation Networks," February, 2020. Accepted for Doctoral Symposium of 4th International Conference on Computational Intelligence and Networks (CINE 2020)
Reddy Rani Vangimalla, and J. Sreevalsan-Nair, "RadTrix: A Composite Hybrid Visualization for Unbalanced Bipartite Graphs in Biological Datasets," accepted as poster in the 9th Eurographics Workshop on Visual Computing for Biology and Medicine, September 2019 (VCBM 2019).
Jaya Sreevalsan-Nair, Shivam Agarwal, Reddy Rani Vangimalla, Sanat Ramesh, Nirmala Murthy. "Collaborative Design of Visual Analytic Techniques for Survey Data for Community-based Research in Public Health," ,8th Workshop on Visual Analytics in Healthcare, affiliated with IEEE VIS 2017.