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Darina Abaffyova

KU Leuven

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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
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Abstract:

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