Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key resource in human genetics. However, phenotypes in biobanks are often missing across many individuals, limiting their utility. We propose AutoComplete, a deep learning-based imputation method to impute or ‘fill-in’ missing phenotypes in population-scale biobank datasets.
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Recent Biomathematics Ph.D. graduate Alexander Fisher (now an Assistant Professor at Duke) has received the Publisher's Award for Excellence in Systematic Research from The Society of Systematic Biologists. The award is presented to the two best papers based on student research published in Systematic Biology during the previous year.
The award is for the research article:
Three PhD students supported by the Biomedical Data Science for Precision Health Equity training program, along with PI Professor Bogdan Pasaniuc (Computational Medicine) and Professor Alex Bui (Radiological Sciences, Bioengineering), attended the NLM T15 Training Conference, held at S
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Weekly seminar series on a broad range of topics, with presenters from UCLA as well as other institutions.
11/30 Ladan Shams
Thursday from 3:00 to 4:00 pm
CGSI brings together over a hundred researchers and trainees from many disciplines (statistics, engineering, medicine, math, computer science, genetics, etc.) who showcase their latest research. The dates of the 2024 long program are in July and August. We begin inviting speakers and accepting applications from trainees in December 2023.
The Data Science in Biomedicine MS provides training in Data Science, Machine Learning, Statistics, Data Mining, Algorithms, and Analytics with applications to Genomics, Electronic Health Records, and Medical Images.