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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1998 2
1999 1
2002 1
2004 1
2009 3
2010 2
2011 1
2012 6
2013 4
2014 1
2015 2
2016 2
2017 7
2018 17
2019 31
2020 16
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Similar Articles for PMID: 30011547

88 results
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Variational encoding of complex dynamics.
Hernández CX, Wayment-Steele HK, Sultan MM, Husic BE, Pande VS. Hernández CX, et al. Phys Rev E. 2018 Jun;97(6-1):062412. doi: 10.1103/PhysRevE.97.062412. Phys Rev E. 2018. PMID: 30011547 Free PMC article.
Note: Variational encoding of protein dynamics benefits from maximizing latent autocorrelation.
Wayment-Steele HK, Pande VS. Wayment-Steele HK, et al. J Chem Phys. 2018 Dec 7;149(21):216101. doi: 10.1063/1.5043303. J Chem Phys. 2018. PMID: 30525733
Deep clustering of protein folding simulations.
Bhowmik D, Gao S, Young MT, Ramanathan A. Bhowmik D, et al. BMC Bioinformatics. 2018 Dec 21;19(Suppl 18):484. doi: 10.1186/s12859-018-2507-5. BMC Bioinformatics. 2018. PMID: 30577777 Free PMC article.
Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G, Pastore A, Piazza F, Temussi PA. Foffi G, et al. Phys Biol. 2013 Aug;10(4):040301. doi: 10.1088/1478-3975/10/4/040301. Epub 2013 Aug 2. Phys Biol. 2013. PMID: 23912807
Transferable Neural Networks for Enhanced Sampling of Protein Dynamics.
Sultan MM, Wayment-Steele HK, Pande VS. Sultan MM, et al. J Chem Theory Comput. 2018 Apr 10;14(4):1887-1894. doi: 10.1021/acs.jctc.8b00025. Epub 2018 Mar 19. J Chem Theory Comput. 2018. PMID: 29529369
Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
Cui S, Luo Y, Tseng HH, Ten Haken RK, El Naqa I. Cui S, et al. Med Phys. 2019 May;46(5):2497-2511. doi: 10.1002/mp.13497. Epub 2019 Apr 8. Med Phys. 2019. PMID: 30891794 Free PMC article.
VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder.
Samanta S, O'Hagan S, Swainston N, Roberts TJ, Kell DB. Samanta S, et al. Molecules. 2020 Jul 29;25(15):3446. doi: 10.3390/molecules25153446. Molecules. 2020. PMID: 32751155 Free PMC article.
Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics.
Hu Q, Greene CS. Hu Q, et al. Pac Symp Biocomput. 2019;24:362-373. Pac Symp Biocomput. 2019. PMID: 30963075 Free PMC article.
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder.
Li L, Yan J, Wang H, Jin Y. Li L, et al. IEEE Trans Neural Netw Learn Syst. 2020 Apr 13. doi: 10.1109/TNNLS.2020.2980749. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 32287020
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics.
Wehmeyer C, Noé F. Wehmeyer C, et al. J Chem Phys. 2018 Jun 28;148(24):241703. doi: 10.1063/1.5011399. J Chem Phys. 2018. PMID: 29960344
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