Deep Learning for Cardiovascular Risk Stratification by Schlesinger, Daphne E., Stultz, Collin M

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Protein Structure along the Order–Disorder Continuum by Fisher, Charles K., Stultz, Collin M.

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Constructing ensembles for intrinsically disordered proteins by Stultz, Collin M., Fisher, Charles K.

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The Contribution of Interchain Salt Bridges to Triple-Helical Stability in Collagen by Gurry, Thomas, Nerenberg, Paul S., Stultz, Collin M.

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A Structure-free Method for Quantifying Conformational Flexibility in proteins by Arenas, Daniel J., Burger, Virginia, Stultz, Collin M

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EFFICIENT CONSTRUCTION OF DISORDERED PROTEIN ENSEMBLES IN A BAYESIAN FRAMEWORK WITH OPTIMAL SELECTION OF CONFORMATIONS by Fisher, Charles K, Slavin, Orly, Stultz, Collin M

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Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge by Syed, Zeeshan, Guttag, John V., Stultz, Collin M.

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Modeling Intrinsically Disordered Proteins with Bayesian Statistics by Fisher, Charles K., Huang, Austin, Stultz, Collin M.

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Explaining the Structural Plasticity of α-Synuclein by Ullman, Orly, Fisher, Charles K., Stultz, Collin M.

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Comparative Studies of Disordered Proteins with Similar Sequences: Application to Aβ40 and Aβ42 by Fisher, Charles K., Ullman, Orly, Stultz, Collin M.

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Intrinsically Disordered Proteins: Where Computation Meets Experiment by Burger, Virginia M., Gurry, Thomas, Stultz, Collin M.

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Machine Learning Improves Risk Stratification After Acute Coronary Syndrome by Scirica, Benjamin M., Myers, Paul Daniel, Stultz, Collin M

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Searching for the nik Operon: How a Ligand-Responsive Transcription Factor Hunts for Its DNA Binding Site by Phillips, Christine M., Stultz, Collin M., Drennan, Catherine L.

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Searching for the nik Operon: How a Ligand-Responsive Transcription Factor Hunts for Its DNA Binding Site by Phillips, Christine M., Stultz, Collin M, Drennan, Catherine L

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Toward a consensus in protein structure nomenclature by DaSilva, Linder C, Gurry, Thomas Jerome, Stultz, Collin M

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Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome by Scirica, Benjamin M., Liu, Yun, Stultz, Collin M, Guttag, John V

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Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome by Myers, Paul Daniel, Huang, Wei, Anderson, Frederick Arthur, Stultz, Collin M

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Electrocardiographic prediction of arrhythmias by Syed, Z., Scirica, B. M., Stultz, Collin M., Guttag, John V.

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Physical Basis of Metal-Binding Specificity in Escherichia coli NikR by Phillips, Christine M., Nerenberg, Paul S., Drennan, Catherine L, Stultz, Collin M

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Generative Oversampling with a Contrastive Variational Autoencoder by Dai, Wangzhi, Ng, Kenney, Severson, Kristen, Huang, Wei, Anderson, Fred, Stultz, Collin

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