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Ying-Wooi Wan on Muck Rack

Ying-Wooi Wan

As seen in: BioRxiv, Cell Press, Cell Reports, Texas Medical Center
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Articles

CoRegNet: Unraveling Gene Co-Regulation Networks from Public RNA-Seq Repositories Using a Beta-Binomial Statistical Model

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By Jiasheng Wang, Ying-Wooi Wan, Rami Al-Ouran, Meichen Huang
| Texas Medical Center
Keywords Humans, RNA-Seq, Gene Regulatory Networks, Models, Statistical, Sequence Analysis, RNA, Gene Expression Profiling, gene network, co-regulation network, beta-binomial statistical model, non-linear correlation, Simpson’s paradox Abstract Millions of RNA sequencing samples have been deposited into public databases, providing a rich resource for biological research. These datasets encompass tens of thousands of experiments and offer comprehensive insights into human cellular regulation.
Open in Who Shared Issue with article?

Acute MeCP2 loss in adult mice reveals transcriptional and chromatin changes that precede neurological dysfunction and inform pathogenesis

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By Sameer S. Bajikar, Jian Zhou, Ryan O’Hara, Harini P. Tirumala, Mark Durham, Alexander J Trostle, Michelle Dias, Yingyao Shao, Hu Chen, Wei Wang, Hari Krishna Yalamanchili, Ying-Wooi Wan, Laura Banaszynski, Zhandong Liu, Huda Zoghbi
| Cell Press Verified
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CoRegNet: Unraveling Gene Co-regulation Networks from Public RNA-Seq Repositories Using a Beta-Binomial Statistical Model

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By Jiasheng Wang, Ying-Wooi Wan, Rami Al-Ouran, Meichen Huang
| BioRxiv
Abstract Millions of RNA sequencing samples have been deposited into public databases, providing a rich resource for biological research. These datasets encompass tens of thousands of experiments and offer comprehensive insights into human cellular regulation. However, a major challenge is how to integrate these experiments that acquired at different conditions.
Open in Who Shared Issue with article?
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