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Deep learning-based phenotype imputation

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.

Nov 20, 2023
Department of Computational Medicine and Institute of Precision Health

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

Aug 23, 2023
LA Biobank UCLA

A new study of UCLA Health’s large genetic biobank is giving researchers new insights into the disease risks faced by the region’s diverse communities and their access to health care.

Jul 18, 2023
Biomath Fisher

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.

Jun 27, 2023
Alexander Fisher

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: 

Jun 27, 2023
Sankararaman

UCLA Samueli Newsroom

Recent scientific discoveries have shown that Neanderthal genes comprise some 1 to 4% of the genome of modern non-Africans, but the question remained open on how much those genes are still actively influencing human traits — until now.

Jun 02, 2023
2023 COPSS

UCLA Computational Medicine and Statistics professor Jingyi Jessica Li won one of the 2023 COPSS Emerging Leader Awards. The award recognizes the talents, leadership potential, and achievements of high-potential early career statistical scientists. 

May 04, 2023
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