MicroRNAs provide negative feedback and stability in gene regulatory network models of cell-state transitions by Razavi-Mohseni, Milad, Beer, Michael A.

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Integrative epigenomic and high-throughput functional enhancer profiling reveals determinants of enhancer heterogeneity in gastric cancer by Sheng, Taotao, Ho, Shamaine Wei Ting, Ooi, Wen Fong, Xu, Chang, Xing, Manjie, Padmanabhan, Nisha, Huang, Kie Kyon, Ma, Lijia, Ray, Mohana, Guo, Yu Amanda, Sim, Ngak Leng, Anene-Nzelu, Chukwuemeka George, Chang, Mei Mei, Razavi-Mohseni, Milad, Beer, Michael A, Foo, Roger Sik Yin, Sundar, Raghav, Chan, Yiong Huak, Tan, Angie Lay Keng, Ong, Xuewen, Skanderup, Anders Jacobsen, White, Kevin P, Jha, Sudhakar, Tan, Patrick

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The Rules of Human T Cell Fate in vivo by Costa Del Amo, Pedro, Debebe, Bisrat, Razavi-Mohseni, Milad, Nakaoka, Shinji, Worth, Andrew, Wallace, Diana, Beverley, Peter, Macallan, Derek, Asquith, Becca

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Machine Learning Sequence Modeling Identifies Gene Regulatory Responses to Bone Marrow Stromal Interactions in Multiple Myeloma by Razavi-Mohseni, Milad, Shigaki, Dustin, Beer, Michael A

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Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer by Razavi-Mohseni, Milad, Huang, Weitai, Guo, Yu A, Shigaki, Dustin, Ho, Shamaine Wei Ting, Tan, Patrick, Skanderup, Anders J, Beer, Michael A

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