M
Michael Snyder
Researcher at Stanford University
Publications - 938
Citations - 150929
Michael Snyder is an academic researcher from Stanford University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 169, co-authored 840 publications receiving 130225 citations. Previous affiliations of Michael Snyder include Wyss Institute for Biologically Inspired Engineering & Public Health Research Institute.
Papers
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Journal ArticleDOI
The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles
Jacob Schreiber,Carles Boix,Jin-Wook Lee,Hongyang Li,Yuanfang Guan,Jen-Chien Chang,Alex Hawkins-Hooker,Bernhard Schölkopf,Gabriele Schweikert,Mateo Rojas-Carulla,Arif Canakoglu,Francesco Guzzo,Luca Nanni,Marco Masseroli,Mark James Carman,Pietro Pinoli,Chenyang Hong,Kevin Y. Yip,Jeffrey P. Spence,Sanjit S. Batra,Jun S. Song,Shaun Mahony,Zheng Zhang,Wuwei Tan,Yang Shen,Yuanfei Sun,Minyi Shi,Jessika Adrian,Richard Sandstrom,Nina Farrell,Jessica Halow,Kristen Lee,Lixia Jiang,Xinqiong Yang,Charles B. Epstein,J. Seth Strattan,Michael Snyder,Manolis Kellis,William Noble,Anshul Kundaje +39 more
TL;DR: In this article , the authors comprehensively analyzed 23 methods from the ENCODE Imputation Challenge and found that imputation evaluations are challenging and confounded by distributional shifts from differences in data collection and processing over time, the amount of available data, and redundancy among performance measures.
Patent
Virus protein microarray and uses therefor
TL;DR: A virus protein micorarray that can serve as a rapid, sensitive and simple tool for identification of viral specific antibodies in sera, such as a SARS coronavirus protein microarray and methods of using the microarray.
Posted ContentDOI
Five Year Pediatric Use of a Digital Wearable Fitness Device: Lessons from a Pilot Case Study
TL;DR: With periodic adjustments for growth, this pilot study shows wearable fitness devices can be used for more accurate and consistent measurements in adolescents and teenagers over longer periods of time, to potentially promote healthy behaviors.
Journal ArticleDOI
Organism-wide, cell-type-specific secretome mapping of exercise training in mice.
Nicholas M. Riley,Xuchao Lyu,Xiaotao Shen,Jing Guo,Steffen H. Raun,Meng Zhao,Maria Dolores Moya-Garzon,Himanish Basu,Veronica L. Li,Wentao Huang,Amanda L Wiggenhorn,Katrin J. Svensson,Michael Snyder,Carolyn R. Bertozzi,Jonathan Z. Long +14 more
TL;DR: In this paper , a cell-type-specific proteomic approach was used to generate a 21-cell-type, 10-tissue map of exercise training-regulated secretomes in mice.
Posted ContentDOI
Integration of spatial and single-cell data across modalities with weak linkage
Shuxiao Chen,Bokai Zhu,Sijia Huang,John W. Hickey,Kevin Lin,Michael Snyder,William J. Greenleaf,Garry P. Nolan,Nan Zhang,Zongming Ma +9 more
TL;DR: MaxFuse as mentioned in this paper is a cross-modal data integration method that, through iterative co-embedding, data smoothing, and cell matching, leverages all information in each modality to obtain high-quality integration.