Song Feng, Ph. D.

Affiliations: 
2013-2016 School of Life Sciences University of Warwick, Coventry, England, United Kingdom 
 2016-2019 Center for Nonlinear Studies Los Alamos National Laboratory, Los Alamos, NM, United States 
 2019- Biological Science Division Pacific Northwest National Laboratory, Richland, WA, United States 
Area:
Systems Biology, Evolution, Multiscale Modeling, Machine Learning
Website:
http://fengsong.github.io
Google:
"https://scholar.google.com/citations?user=EVwMn_EAAAAJ"

Parents

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Orkun  S. Soyer grad student 2013-2016 University of Warwick (Chemistry Tree)
William S. Hlavacek post-doc 2016-2019 LANL (Computational Biology Tree)
Ruy M. Ribeiro post-doc 2016-2019 LANL
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Publications

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Kochen MA, Wiley HS, Feng S, et al. (2022) SBbadger: Biochemical Reaction Networks with Definable Degree Distributions. Bioinformatics (Oxford, England)
Woo J, Clair GC, Williams SM, et al. (2022) Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering. Cell Systems
Clair G, Bramer LM, Misra R, et al. (2021) Proteomic Analysis of Human Lung Development. American Journal of Respiratory and Critical Care Medicine
Woo J, Williams SM, Markillie LM, et al. (2021) High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip. Nature Communications. 12: 6246
Li X, Day NJ, Feng S, et al. (2021) Mass spectrometry-based direct detection of multiple types of protein thiol modifications in pancreatic beta cells under endoplasmic reticulum stress. Redox Biology. 46: 102111
Feng S, Heath E, Jefferson B, et al. (2021) Hypergraph models of biological networks to identify genes critical to pathogenic viral response. Bmc Bioinformatics. 22: 287
Lin YT, Feng S, Hlavacek WS. (2019) Scaling methods for accelerating kinetic Monte Carlo simulations of chemical reaction networks. The Journal of Chemical Physics. 150: 244101
Feng S, Soyer OS. (2019) In Silico Evolution of Signaling Networks Using Rule-Based Models: Bistable Response Dynamics. Methods in Molecular Biology (Clifton, N.J.). 1945: 315-339
Shirin A, Klickstein IS, Feng S, et al. (2019) Prediction of Optimal Drug Schedules for Controlling Autophagy. Scientific Reports. 9: 1428
Suderman R, Mitra ED, Lin YT, et al. (2018) Generalizing Gillespie's Direct Method to Enable Network-Free Simulations. Bulletin of Mathematical Biology
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