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− | <strong> | + | <strong>Welcome to the U-M Big Data Summer Institute 2021 Wiki!</strong> |
+ | == Reading Material == | ||
− | + | === Electronic Health Records Group === | |
− | == | + | === Machine Learning Group === |
− | * [https:// | + | |
− | * [https:// | + | === Imaging === |
− | * [https:// | + | |
− | * [https:// | + | === Data Mining === |
− | * [https:// | + | |
+ | |||
+ | * | ||
+ | ====Papers==== | ||
+ | * | ||
+ | == Lectures == | ||
+ | |||
+ | === <u>Week 1</u> === | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=58d266f3-210d-4d7c-8788-aa6f014a70ec Cluster computing] - Dan Barker | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=65fd73f4-195a-4198-87b7-aa6f01299c4c RCRS Training] - Mukherjee | ||
+ | |||
+ | === <u>Week 2</u> === | ||
+ | |||
+ | === <u>Week 3</u> === | ||
+ | |||
+ | === <u>Week 4</u> === | ||
+ | |||
+ | === <u>Week 5</u> === | ||
+ | |||
+ | === <u>Week 6</u> === | ||
+ | |||
+ | === <u>Week 7</u> === | ||
+ | |||
+ | === <u>Week 8</u> === | ||
+ | |||
+ | |||
+ | '''2019 Student Poster Presentations''' | ||
+ | *[https://umich.app.box.com/s/xwc8ecl2l3gahlpdhobkm0zbx4dvu3qa/file/496616682213 Data Mining Presentation] | ||
+ | *[https://umich.app.box.com/s/xwc8ecl2l3gahlpdhobkm0zbx4dvu3qa/file/496590467731 Machine Learning Presentation] | ||
+ | *[https://umich.app.box.com/s/xwc8ecl2l3gahlpdhobkm0zbx4dvu3qa/file/496560211380 Genomics Presentation] | ||
+ | '''2018 Student Poster Presentations''' | ||
+ | *[https://drive.google.com/file/d/1TGNqkCAV9eBJ_-zHbiU-yo3N4Aowm_HB/view?usp=sharing Imaging Group Presentation] | ||
+ | *[https://drive.google.com/file/d/1S01_WV6wfJ6BE2Op-01byw0WFUZadPjR/view?usp=sharing Machine Learning Group Presentation] | ||
+ | *[https://drive.google.com/file/d/1LlZgR4TAlyYaS88bQ6qgZncWFuS0lFuC/view?usp=sharing Genetics Group Presentation] | ||
+ | *[https://drive.google.com/file/d/1HqWZFGjHgIYOoqqlpQxc0qn9y7PTa4hD/view?usp=sharing Data Mining Presentation] | ||
+ | '''2017 Student Poster Presentations''' | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-WFNPZzd5TndqZ0U/view?usp=sharing Data Mining/ Machine Learning] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-S2xrUFM0ZEI3dGM/view?usp=sharing Electronic Health Records (EHR)] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-NEZ1YnQyVW0tREE/view?usp=sharing Genomics] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-cDVJNUtIcjRjcFE/view?usp=sharing Imaging] | ||
+ | =====2017 Symposium Reference Files===== | ||
+ | *[https://drive.google.com/file/d/1zwuVp6_sIRIlKx79-i0uZRp6Gtooi6g8/view?usp=sharing 2017 Symposium Program] | ||
+ | *[https://drive.google.com/file/d/18FfpzqxwPSunJfHM3pHDxYYggAPlKgWX/view?usp=sharing 2017 Symposium Flyer] | ||
+ | ======2017 Symposium Projects====== | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-Zm5RWHByeWdUd2M/view?usp=sharing A Time-to-Event Analysis of Heart Failure via Electronic Health Records] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-UEIwRVNZaVJXRFk/view?usp=sharing Melanoma Detection by Classifying Skin Lesion Images] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VEk4RExSSkV3NGM/view?usp=sharing Classifying Skin Lesions Images Using Adaptive Boosting] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-RDR1UmtsV3hFUVk/view?usp=sharing Machine Learning Classification of Skin Lesion Images] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-YWs0alJGdTA3UE0/view?usp=sharing Genomics: Genome Storage and Assembly] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-SU1KWFdPcWZzMEk/view?usp=sharing Predicting the Transcriptome from the Genome] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VGhDZlZZeHAyRDQ/view?usp=sharing Classification of Cell Types from Peripheral Mononuclear Blood Cells] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-bzRTUTlQek9JRGM/view?usp=sharing EHR-Based Study of Long-Term Infectious Diseases] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VjRsZkJfalVNbVk/view?usp=sharing Visualizing Lab and Phenotype Associations Using PheWAS and Electronic Health Records] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-NXJoemNibTFxZXc/view?usp=sharing Data Mining: Microenvironment Microarray Spot Based Approach for Cell Prediction] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VDdJQmtOZHR6RE0/view?usp=sharing Estimating Cell Growth with Machine Learning and Data Mining] | ||
+ | |||
+ | == Additional Resources == | ||
+ | * [[Media:BDSI_2019_Master_Schedule.docx|Daily Schedule]] - Last update June 4, 2019 | ||
+ | * [[Media:BDSI_2019_Social_Events.pdf|Social events Schedule]] - Last update June 6, 2019 |
Revision as of 11:59, 6 June 2021
Welcome to the U-M Big Data Summer Institute 2021 Wiki!
Reading Material
Electronic Health Records Group
Machine Learning Group
Imaging
Data Mining
Papers
Lectures
Week 1
- Cluster computing - Dan Barker
- RCRS Training - Mukherjee
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
2019 Student Poster Presentations
2018 Student Poster Presentations
- Imaging Group Presentation
- Machine Learning Group Presentation
- Genetics Group Presentation
- Data Mining Presentation
2017 Student Poster Presentations
2017 Symposium Reference Files
2017 Symposium Projects
- A Time-to-Event Analysis of Heart Failure via Electronic Health Records
- Melanoma Detection by Classifying Skin Lesion Images
- Classifying Skin Lesions Images Using Adaptive Boosting
- Machine Learning Classification of Skin Lesion Images
- Genomics: Genome Storage and Assembly
- Predicting the Transcriptome from the Genome
- Classification of Cell Types from Peripheral Mononuclear Blood Cells
- EHR-Based Study of Long-Term Infectious Diseases
- Visualizing Lab and Phenotype Associations Using PheWAS and Electronic Health Records
- Data Mining: Microenvironment Microarray Spot Based Approach for Cell Prediction
- Estimating Cell Growth with Machine Learning and Data Mining
Additional Resources
- Daily Schedule - Last update June 4, 2019
- Social events Schedule - Last update June 6, 2019