Michelle J Wu
Michelle J Wu
PhD student in Biomedical Informatics, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
High-throughput biochemical profiling reveals sequence determinants of dCas9 off-target binding and unbinding
EA Boyle, JOL Andreasson, LM Chircus, SH Sternberg, MJ Wu, ...
Proceedings of the National Academy of Sciences 114 (21), 5461-5466, 2017
1022017
Principles for Predicting RNA Secondary Structure Design Difficulty
J Anderson-Lee, E Fisker, V Kosaraju, M Wu, J Kong, J Lee, M Lee, ...
Journal of Molecular Biology, 2016
502016
Lasso peptide benenodin-1 is a thermally actuated [1] rotaxane switch
C Zong, MJ Wu, JZ Qin, AJ Link
Journal of the American Chemical Society 139 (30), 10403-10409, 2017
272017
PRISM: a data-driven platform for monitoring mental health
MR Kamdar, MJ Wu
Biocomputing 2016: Proceedings of the Pacific Symposium, 333-344, 2016
182016
Automated Design of Diverse Stand-Alone Riboswitches
MJ Wu, JOL Andreasson, W Kladwang, WJ Greenleaf, R Das
ACS Synthetic Biology 8 (8), 1838-1846, 2019
172019
Evaluating riboswitch optimality
H Wayment-Steele, M Wu, M Gotrik, R Das
Methods in enzymology 623, 417-450, 2019
32019
Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular sensors
JOL Andreasson, MR Gotrik, MJ Wu, HK Wayment-Steele, W Kladwang, ...
bioRxiv, 2019
12019
Prospects for recurrent neural network models to learn RNA biophysics from high-throughput data
MJ Wu, JOL Andreasson, W Kladwang, WJ Greenleaf, R Das
bioRxiv, 227611, 2017
12017
Quantitative Models of RNA Thermodynamics for the Design of Riboswitches
MJ Wu
Stanford University, 2019
2019
Convolutional models of RNA energetics
MJ Wu
bioRxiv, 470740, 2018
2018
Predicting Protein-Fragment Binding
E Flynn, M Wu
2014
Genome Mining Approaches for the Discovery of Novel Lasso Peptides
M Wu
Princeton University, 2014
2014
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Articles 1–12