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
1232017
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
552016
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
312017
PRISM: a data-driven platform for monitoring mental health
MR Kamdar, MJ Wu
Biocomputing 2016: Proceedings of the Pacific Symposium, 333-344, 2016
222016
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
212019
Evaluating riboswitch optimality
H Wayment-Steele, M Wu, M Gotrik, R Das
Methods in enzymology 623, 417-450, 2019
42019
Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular sensors
JOL Andreasson, MR Gotrik, MJ Wu, HK Wayment-Steele, W Kladwang, ...
bioRxiv, 2019
32019
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
PQDT-Global, 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