A5000101234- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Computational Physics and Python Applications
- Genetics, Bioinformatics, and Biomedical Research
- Cytomegalovirus and herpesvirus research
- Cell Image Analysis Techniques
- Scientific Computing and Data Management
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
University of Michigan–Ann Arbor
2021-2022
Abstract Single-cell genomic technologies provide an unprecedented opportunity to define molecular cell types in a data-driven fashion, but present unique data integration challenges. Many analyses require “mosaic integration”, including both features shared across datasets and exclusive single experiment. Previous computational approaches that the input matrices share same number of either genes or cells, thus can use only features. To address this limitation, we derive nonnegative matrix...
Abstract Single-cell genomic technologies provide an unprecedented opportunity to define molecular cell types in a data-driven fashion, but present unique data integration challenges. Integration analyses often involve datasets with partially overlapping features, including both shared features that occur all and exclusive single experiment. Previous computational approaches require the input matrices share same number of either genes or cells, thus can use only features. To address this...
We are bioinformatics trainees at the University of Michigan who started a local chapter Girls Who Code to provide fun and supportive environment for high school women learn power coding. Our goal was cover basic coding topics data science concepts through live hands-on practice. However, we could not find resource that exactly met our needs. Therefore, over past three years, have developed curriculum instructional format using Jupyter notebooks effectively teach introductory Python science....
Summary We are bioinformatics trainees at the University of Michigan who started a local chapter Girls Who Code to provide fun and supportive environment for high school women learn power coding. Our goal was cover basic coding topics data science concepts through live hands-on practice. However, we could not find resource that exactly met our needs. Therefore, over past three years, have developed curriculum instructional format using Jupyter notebooks effectively teach introductory Python...