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Bing Ren

University of California, San Diego (UCSD)

SCHOLARLY PAPERS

2

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76

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Scholarly Papers (2)

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1.

Cell-Type-Specific Transposable Element Demethylation and TAD Remodeling in the Aging Mouse Brain

Number of pages: 96 Posted: 21 Apr 2025
Qiurui Zeng, Wei Tian, Amit Klein, Anna Bartlett, Hanqing Liu, Joseph R. Nery, Rosa G. Castanon, Julia Osteen, Nicholas D. Johnson, Wenliang Wang, Wubin Ding, Huaming Chen, Jordan Altshul, Mia Kenworthy, Cynthia Valadon, William Owens, Zhanghao Wu, Maria Luisa Amaral, Yuru Song, Cindy Tatiana Báez-Becerra, Silvia Cho, Chumo Chen, Jackson Willier, Stella Cao, Jonathan Rink, Jasper Lee, Ariana Barcoma, Jessica Arzavala, Nora Emerson, Yuancheng Ryan Lu, Bing Ren, Margarita M. Behrens, Joseph R. Ecker and Sneak Peek Administrator
Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Harvard University, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, University of California, Berkeley, University of California, San Diego (UCSD), University of California, San Diego (UCSD), Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Salk Institute for Biological Studies, Massachusetts Institute of Technology (MIT) - Whitehead Institute for Biomedical Research, University of California, San Diego (UCSD), University of California, San Diego (UCSD), Salk Institute for Biological Studies and Independent
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2.

Evaluating Methods for the Prediction of Cell Type-Specific Enhancers in the Mammalian Cortex

Number of pages: 27 Posted: 07 Oct 2024
Nelson J. Johansen, Niklas Kempynck, Nathan R. Zemke, Saroja Somasundaram, Seppe De Winter, Marcus Hooper, Deepanjali Dwivedi, Ruchi Lohia, Fabien Wehbe, Bocheng Li, Darina Abaffyova, Ethan J. Armand, Julie De Man, Eren Can Eksi, Nikolai Hecker, Gert Hulselmans, Vasilis Konstantakos, David Mauduit, John K. Mich, Gabriele Partel, Tanya L. Daigle, Boaz Levi, Kai Zhang, Yoshiaki Tanaka, Jesse Gillis, Jonathan T. Ting, Yoav Ben-Simon, Jeremy Miller, Joseph R. Ecker, Bing Ren, Stein Aerts, Ed S. Lein, Bosiljka Tasic, Trygve E. Bakken and Sneak Peek Administrator
Allen Institute - Allen Institute for Brain Science, KU Leuven, University of California, San Diego (UCSD), Allen Institute - Allen Institute for Brain Science, KU Leuven, Allen Institute - Allen Institute for Brain Science, Allen Institute - Allen Institute for Brain Science, University of Toronto, University of Montreal, Westlake University, KU Leuven, University of California, San Diego (UCSD), KU Leuven, KU Leuven, KU Leuven, KU Leuven, KU Leuven, KU Leuven, Allen Institute - Allen Institute for Brain Science, KU Leuven, Allen Institute - Allen Institute for Brain Science, Allen Institute - Allen Institute for Brain Science, Westlake University, University of Montreal, University of Toronto, Allen Institute - Allen Institute for Brain Science, Allen Institute - Allen Institute for Brain Science, Allen Institute - Allen Institute for Brain Science, Salk Institute for Biological Studies, University of California, San Diego (UCSD), KU Leuven, Allen Institute - Allen Institute for Brain Science, Allen Institute - Allen Institute for Brain Science, Allen Institute - Allen Institute for Brain Science and Independent
Downloads 26 (1,385,945)

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AAV, enhancer, multiome, RNA-Seq, ATAC-seq, DNA methylation, HiC, mouse, primates, cortex, cell types, machine learning, benchmark, challenge