Yo Sup Moon
Harvard University
6 Papers
2 Citations
Yo Sup Moon is an academic researcher from Harvard University. The author has contributed to research in topics: Statistical model & Population. The author has an hindex of 3, co-authored 6 publications.
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Papers
Evolutionary dynamics of cancer in response to targeted combination therapy
Ivana Bozic,Johannes G. Reiter,Benjamin L. Allen,Benjamin L. Allen,Tibor Antal,Krishnendu Chatterjee,Preya Shah,Yo Sup Moon,Amin Yaqubie,Nicole Kelly,Dung T. Le,Evan J. Lipson,Paul B. Chapman,Luis A. Diaz,Bert Vogelstein,Martin A. Nowak +15 more
TL;DR: It is found that dual therapy results in long-term disease control for most patients, if there are no single mutations that cause cross-resistance to both drugs; in patients with large disease burden, triple therapy is needed.
Quantitative diagnosis of malignant pleural effusions by single-cell mechanophenotyping.
Henry T. K. Tse,Daniel R. Gossett,Yo Sup Moon,Mahdokht Masaeli,Marie Sohsman,Yong Ying,Kimberly Mislick,Ryan P. Adams,Jianyu Rao,Dino Di Carlo +9 more
TL;DR: De deformability cytometry should be useful as a quick screening tool to form an early diagnosis of MPEs, and an algorithmic diagnostic scoring system was developed on the basis of quantitative features of two-dimensional distributions of single-cell mechanophenotypes from 119 samples.
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A statistical model for describing and simulating microbial community profiles.
Siyuan Ma,Siyuan Ma,Boyu Ren,Boyu Ren,Himel Mallick,Himel Mallick,Yo Sup Moon,Emma Schwager,Sagun Maharjan,Sagun Maharjan,Timothy L. Tickle,Timothy L. Tickle,Yiren Lu,Rachel N. Carmody,Eric A. Franzosa,Eric A. Franzosa,Lucas Janson,Curtis Huttenhower +17 more
TL;DR: SparseDOSSA as discussed by the authors is a statistical model of microbial ecological population structure, which can be used to parameterize real-world microbial community profiles and to simulate new, realistic profiles of known structure for methods evaluation.
A Statistical Model for Describing and Simulating Microbial Community Profiles
Siyuan Ma,Siyuan Ma,Boyu Ren,Boyu Ren,Himel Mallick,Himel Mallick,Yo Sup Moon,Emma Schwager,Sagun Maharjan,Sagun Maharjan,Timothy L. Tickle,Timothy L. Tickle,Yiren Lu,Rachel N. Carmody,Eric A. Franzosa,Eric A. Franzosa,Lucas Janson,Curtis Huttenhower +17 more
TL;DR: SparseDOSSA as mentioned in this paper is a statistical model of microbial ecological population structure, which can be used to parameterize real-world microbial community profiles and to simulate new, realistic profiles of known structure for methods evaluation.
A reproducible approach to high-throughput biological data acquisition and integration
Daniela Börnigen,Yo Sup Moon,Gholamali Rahnavard,Levi Waldron,Lauren J. McIver,Afrah Shafquat,Eric A. Franzosa,Larissa Miropolsky,Christopher Sweeney,Xochitl C. Morgan,Wendy S. Garrett,Curtis Huttenhower +11 more
TL;DR: A novel approach for standardized acquisition and analysis of high-throughput and heterogeneous biological data is developed that allowed, first, novel biomolecular network reconstruction in human prostate cancer, and next, host-microbiome interactions.