Authors: Wang, Juexin, Li, Jinpu, Kramer, Skyler T., Su, Li, Chang, Yuzhou, Xu, Chunhui, Eadon, Michael T., Kiryluk, Krzysztof, Ma, Qin, Xu, Dong
Contributors: BioHealth Informatics, School of Informatics and Computing
Superior Title: PMC
Subject Terms: Computational models, Data mining, Bioinformatics, Statistical methods, RNA sequencing
File Description: application/pdf
Relation: Nature Communications; Wang J, Li J, Kramer ST, et al. Dimension-agnostic and granularity-based spatially variable gene identification using BSP. Nat Commun. 2023;14(1):7367. Published 2023 Nov 14. doi:10.1038/s41467-023-43256-5; https://hdl.handle.net/1805/39920
Authors: Johnson, Travis S., Xiang, Shunian, Dong, Tianhan, Huang, Zhi, Cheng, Michael, Wang, Tianfu, Yang, Kai, Ni, Dong, Huang, Kun, Zhang, Jie
Contributors: Biostatistics, School of Public Health
Superior Title: PMC
Subject Terms: Neurological disorders, Computational biology and bioinformatics, Data mining, Functional clustering, Molecular neuroscience
File Description: application/pdf
Relation: Scientific Reports; Johnson TS, Xiang S, Dong T, et al. Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer's Disease. Sci Rep. 2021;11(1):353. Published 2021 Jan 11. doi:10.1038/s41598-020-79740-x; https://hdl.handle.net/1805/28805
Authors: Luo, Xiao, Storey, Susan, Gandhi, Priyanka, Zhang, Zuoyi, Metzger, Megan, Huang, Kun
Contributors: Computer Information and Graphics Technology, School of Engineering and Technology
Superior Title: Publisher
Subject Terms: data mining, electronic health records, machine learning
File Description: application/pdf
Relation: Health Informatics Journal; Luo, X., Storey, S., Gandhi, P., Zhang, Z., Metzger, M., & Huang, K. (2021). Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data. Health Informatics Journal, 27(1), 14604582211000784. https://doi.org/10.1177/14604582211000785; https://hdl.handle.net/1805/31234
Availability: https://hdl.handle.net/1805/31234
Authors: Ning, Xia, Zhang, Chi, Wang, Kai, Zhao, Zhongming, Mathé, Ewy
Contributors: Medical and Molecular Genetics, School of Medicine
Superior Title: PMC
Subject Terms: Selected papers, Drug-target interaction, Drug-drug interaction prediction, Deep learning, Data mining
File Description: application/pdf
Relation: BMC Medical Informatics and Decision Making; Ning X, Zhang C, Wang K, Zhao Z, Mathé E. The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions. BMC Med Inform Decis Mak. 2020 Mar 18;20(Suppl 2):51. doi:10.1186/s12911-020-1051-1. Erratum in: BMC Med Inform Decis Mak. 2020 Apr 28;20(1):77. PMID: 32183782; PMCID: PMC7079340.; https://hdl.handle.net/1805/28567
Authors: Rodriguez‐Romero, Violeta, Bergstrom, Richard F., Decker, Brian S., Lahu, Gezim, Vakilynejad, Majid, Bies, Robert R.
Contributors: Medicine, School of Medicine
Superior Title: PMC
Subject Terms: Data mining, Machine learning, Biomarkers, Diabetic nephropathy
File Description: application/pdf
Relation: Clinical and Translational science; Rodriguez-Romero, V., Bergstrom, R. F., Decker, B. S., Lahu, G., Vakilynejad, M., & Bies, R. R. (2019). Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques. Clinical and translational science, 12(5), 519–528. doi:10.1111/cts.12647; https://hdl.handle.net/1805/21592
Availability: https://hdl.handle.net/1805/21592
Authors: Breuer, René, Mattheisen, Manuel, Frank, Josef, Krumm, Bertram, Treutlein, Jens, Kassem, Layla, Strohmaier, Jana, Herms, Stefan, Mühleisen, Thomas W., Degenhardt, Franziska, Cichon, Sven, Nöthen, Markus M., Karypis, George, Kelsoe, John, Greenwood, Tiffany, Nievergelt, Caroline, Shilling, Paul, Shekhtman, Tatyana, Edenberg, Howard, Craig, David, Szelinger, Szabolcs, Nurnberger, John, Gershon, Elliot, Alliey‑Rodriguez, Ney, Zandi, Peter, Goes, Fernando, Schork, Nicholas, Smith, Erin, Koller, Daniel, Zhang, Peng, Badner, Judith, Berrettini, Wade, Bloss, Cinnamon, Byerley, William, Coryell, William, Foroud, Tatiana, Guo, Yirin, Hipolito, Maria, Keating, Brendan, Lawson, William, Liu, Chunyu, Mahon, Pamela, McInnis, Melvin, Murray, Sarah, Nwulia, Evaristus, Potash, James, Rice, John, Scheftner, William, Zöllner, Sebastian, McMahon, Francis J., Rietschel, Marcella, Schulze, Thomas G.
Contributors: Biochemistry and Molecular Biology, School of Medicine
Superior Title: PMC
Subject Terms: Bipolar disorder, Data mining, Genotype–phenotype patterns, Rule discovery, Subphenotypes
File Description: application/pdf
Relation: International Journal of Bipolar Disorders; Breuer, R., Mattheisen, M., Frank, J., Krumm, B., Treutlein, J., Kassem, L., … Schulze, T. G. (2018). Detecting significant genotype-phenotype association rules in bipolar disorder: market research meets complex genetics. International journal of bipolar disorders, 6(1), 24. doi:10.1186/s40345-018-0132-x; https://hdl.handle.net/1805/19695
Authors: Jones, Kyle M. L.
Contributors: Library and Information Science, School of Informatics and Computing
Superior Title: Publisher
Subject Terms: learning analytics, data mining, Big Data, higher education, professional ethics, information privacy, intellectual freedom, intellectual property
File Description: application/pdf
Relation: College & Research Libraries; Jones, K. M. L., & Salo, D. (2018). Learning Analytics and the Academic Library: Professional Ethics Commitments at a Crossroads. College & Research Libraries, 79(3). https://doi.org/10.5860/crl.79.3.304; https://hdl.handle.net/1805/25335
Availability: https://hdl.handle.net/1805/25335
Authors: Doha, Rashed Mohammad
Contributors: Anwar, Sohel, Al Hasan, Mohammad, Li, Lingxi
Subject Terms: computer vision, machine learning, data mining, precision agriculture, deep learning
File Description: application/pdf
Authors: Wang, Zheyuan, Zheng, Jiang Yu, Gao, Zhen
Contributors: Electrical and Computer Engineering, School of Engineering and Technology
Superior Title: Author
Subject Terms: behavioural sciences computing, data mining, motion estimation
File Description: application/pdf
Relation: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems; Wang, Z., Zheng, J. Y., & Gao, Z. (2020). Detecting Vehicle Interactions in Driving Videos via Motion Profiles. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 1–6. https://doi.org/10.1109/ITSC45102.2020.9294617; https://hdl.handle.net/1805/28211
Availability: https://hdl.handle.net/1805/28211
Authors: Wan, Changlin, Chang, Wennan, Zhao, Tong, Cao, Sha, Zhang, Chi
Contributors: Biostatistics, School of Public Health
Superior Title: ArXiv
Subject Terms: binary data mining, fairness, denoising
File Description: application/pdf
Relation: Proceedings of the 29th ACM International Conference on Information & Knowledge Management; Wan, C., Chang, W., Zhao, T., Cao, S., & Zhang, C. (2020). Denoising Individual Bias for Fairer Binary Submatrix Detection. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management (pp. 2245–2248). Association for Computing Machinery. https://doi.org/10.1145/3340531.3412156; https://hdl.handle.net/1805/27622
Availability: https://hdl.handle.net/1805/27622
Authors: Weiss, Talia L., Zieselman, Amanda, Hill, Douglas P., Diamond, Solomon G., Shen, Li, Saykin, Andrew J., Moore, Jason H., Alzheimer’s Disease Neuroimaging Initiative
Contributors: Department of Radiology and Imaging Sciences, IU School of Medicine
Superior Title: PMC
Subject Terms: Biology--Computer Applications, 3-D printing, Visualization, Biological Data Mining
File Description: application/pdf
Relation: BioData Mining; Weiss, T. L., Zieselman, A., Hill, D. P., Diamond, S. G., Shen, L., Saykin, A. J., … for the Alzheimer’s Disease Neuroimaging Initiative. (2015). The role of visualization and 3-D printing in biological data mining. BioData Mining, 8, 22. http://doi.org/10.1186/s13040-015-0056-2; https://hdl.handle.net/1805/9793
Authors: Fan, Ziwei, Burgun, Evan, Ren, Zhiyun, Schleyer, Titus, Ning, Xia
Contributors: Medicine, School of Medicine
Superior Title: ArXiv
Subject Terms: clinical informatics, data mining, information retrieval
File Description: application/pdf
Relation: 2019 IEEE International Conference on Healthcare Informatics (ICHI); Fan, Z., Burgun, E., Schleyer, T., & Ning, X. (2019). Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1–3. https://doi.org/10.1109/ICHI.2019.8904731; https://hdl.handle.net/1805/24458
Availability: https://hdl.handle.net/1805/24458
Contributors: Computer and Information Science, School of Science
Superior Title: Publisher
Subject Terms: ProteoLens, data mining, biological networks
File Description: application/pdf
Relation: BMC Bioinformatics; Huan, T., Sivachenko, A.Y., Harrison, S.H. et al. ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining. BMC Bioinformatics 9, S5 (2008). https://doi.org/10.1186/1471-2105-9-S9-S5; https://hdl.handle.net/1805/24507
Authors: Rabaan, Hawra, Chkraborty, Sunandan, Young, Alyson L.
Contributors: BioHealth Informatics, School of Informatics and Computing
Superior Title: Publisher
Subject Terms: sentiment analysis, data mining, social computing
File Description: application/pdf
Relation: 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing; Rabaan, H., Chakraborty, S., & Young, A. L. (2018). Studying the Impression of Saudi People Towards Current Social Changes. Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, 333–336. https://doi.org/10.1145/3272973.3274090; https://hdl.handle.net/1805/21031
Availability: https://hdl.handle.net/1805/21031
Authors: Jones, Kyle M. L., McCoy, Chase
Contributors: Library and Information Science, School of Informatics and Computing
Superior Title: Author
Subject Terms: learning analytics, educational data mining, documentation studies
File Description: application/pdf
Relation: Learning, Media and Technology; Jones, K. M. L., & McCoy, C. (2019). Reconsidering data in learning analytics: Opportunities for critical research using a documentation studies framework. Learning, Media and Technology, 44(1), 52–63. https://doi.org/10.1080/17439884.2018.1556216; https://hdl.handle.net/1805/21259
Availability: https://hdl.handle.net/1805/21259
Authors: Choudhury, Sutanay, Agarwal, Khushbu, Purohit, Sumit, Zhang, Baichuan, Pirrung, Meg, Smith, Will, Thomas, Mathew
Contributors: Computer and Information Science, School of Science
Superior Title: Author
Subject Terms: data mining, knowledge engineering, heuristic algorithms
File Description: application/pdf
Relation: 2017 IEEE 33rd International Conference on Data Engineering; Choudhury, S., Agarwal, K., Purohit, S., Zhang, B., Pirrung, M., Smith, W., & Thomas, M. (2017). NOUS: Construction and Querying of Dynamic Knowledge Graphs. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 1563–1565). https://doi.org/10.1109/ICDE.2017.228; https://hdl.handle.net/1805/15141
Availability: https://hdl.handle.net/1805/15141
Authors: Fang, Anna, Ben-Miled, Zina
Contributors: Electrical and Computer Engineering, School of Engineering and Technology
Superior Title: Author
Subject Terms: data analytics, data mining, social media
File Description: application/pdf
Relation: 2017 International Conference on Computing, Networking and Communications; Fang, A., & Ben-Miled, Z. (2017). Does bad news spread faster? In 2017 International Conference on Computing, Networking and Communications (ICNC) (pp. 793–797). https://doi.org/10.1109/ICCNC.2017.7876232; https://hdl.handle.net/1805/14820
Availability: https://hdl.handle.net/1805/14820
Authors: Zigon, Bob, Li, Huang, Yao, Xiaohui, Fang, Shiaofen, Hasan, Mohammad Al, Yan, Jingwen, Moore, Jason H., Saykin, Andrew J., Shen, Li, Alzheimer’s Disease Neuroimaging Initiative
Contributors: Computer and Information Science, School of Science
Superior Title: PMC
Subject Terms: Alzheimer’s disease, Data mining, GPU, Genomics, MRI, Versatile gene based association study
File Description: application/pdf
Relation: Neuroinformatics; Zigon, B., Li, H., Yao, X., Fang, S., Hasan, M. A., Yan, J., … Alzheimer’s Disease Neuroimaging Initiative (2018). GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics, 16(3-4), 393–402. doi:10.1007/s12021-018-9376-y; https://hdl.handle.net/1805/21694
Contributors: BioHealth Informatics, School of Informatics and Computing
Superior Title: PMC
Subject Terms: Community health centers, Data mining, Decision tree modeling, Logistic regression, Open-access scheduling, Visual analytics
File Description: application/pdf
Relation: Journal of Healthcare Informatics Research; Kunjan K, Wu H, Toscos TR, Doebbeling BN. Large-Scale Data Mining to Optimize Patient-Centered Scheduling at Health Centers. J Healthc Inform Res. 2018;3(1):1-18. Published 2018 Sep 4. doi:10.1007/s41666-018-0030-0; https://hdl.handle.net/1805/33541
Contributors: School of Nursing
Superior Title: PMC
Subject Terms: Big data, Data mining, Dysmenorrhea, Pelvic pain, Women's health
File Description: application/pdf
Relation: Journal of Women's Health; Chen, C. X., Groves, D., Miller, W. R., & Carpenter, J. S. (2018). Big Data and Dysmenorrhea: What Questions Do Women and Men Ask About Menstrual Pain?. Journal of women's health (2002), 27(10), 1233–1241. doi:10.1089/jwh.2017.6732; https://hdl.handle.net/1805/21908
Availability: https://hdl.handle.net/1805/21908