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Academic Journal

Statistical Learning from Single-Molecule Experiments: Support Vector Machines and Expectation-Maximization Approaches to Understanding Protein Unfolding Data.

Subjects: Motivation* ; Support Vector Machine*; Models, Molecular

  • Source: The journal of physical chemistry. B [J Phys Chem B] 2021 Jun 10; Vol. 125 (22), pp. 5794-5808. Date of Electronic Publication: 2021 Jun 02.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101157530 Publication Model: Print-Electronic

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Academic Journal

Predicting Reaction Products and Automating Reactive Trajectory Characterization in Molecular Simulations with Support Vector Machines.

  • Authors : Grazioli G; California Institute for Telecommunications and Information Technology , University of California , Irvine , California 92697 , United States.; Department of Chemistry , University of California , Irvine , California 92697 , United States.

Subjects: Models, Molecular* ; Support Vector Machine*; Acetaldehyde/Acetaldehyde/Acetaldehyde/chemistry

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2019 Jun 24; Vol. 59 (6), pp. 2753-2764. Date of Electronic Publication: 2019 May 15.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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Academic Journal

DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.

  • Authors : Zhu YH; School of Computer Science and Engineering , Nanjing University of Science and Technology , Xiaolingwei 200 , Nanjing 210094 , P. R. China.; Hu J

Subjects: Models, Molecular* ; Support Vector Machine*; DNA/DNA/DNA/*metabolism

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2019 Jun 24; Vol. 59 (6), pp. 3057-3071. Date of Electronic Publication: 2019 Apr 16.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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Academic Journal

Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines.

  • Authors : Taherzadeh G; School of Information and Communication Technology and ‡Institute for Glycomics, Griffith University , Parklands Drive, Southport, Queensland 4215, Australia.; Zhou Y

Subjects: Carbohydrate Metabolism* ; Support Vector Machine*; Proteins/Proteins/Proteins/*metabolism

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2016 Oct 24; Vol. 56 (10), pp. 2115-2122. Date of Electronic Publication: 2016 Sep 22.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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Academic Journal

Knodle: A Support Vector Machines-Based Automatic Perception of Organic Molecules from 3D Coordinates.

  • Authors : Kadukova M; Moscow Institute of Physics and Technology , 141701 Dolgoprudniy, Russia.; Grudinin S

Subjects: Software* ; Support Vector Machine*; Informatics/Informatics/Informatics/*methods

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2016 Aug 22; Vol. 56 (8), pp. 1410-9. Date of Electronic Publication: 2016 Jul 21.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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Academic Journal

Detection and direct readout of drugs in human urine using dynamic surface-enhanced Raman spectroscopy and support vector machines.

  • Authors : Dong R; Institute of Intelligent Machines, Chinese Academy of Sciences , Hefei, 230031, China.; Weng S

Subjects: Support Vector Machine*; Dimethylnitrosamine/Dimethylnitrosamine/Dimethylnitrosamine/*urine ; Metal Nanoparticles/Metal Nanoparticles/Metal Nanoparticles/*chemistry

  • Source: Analytical chemistry [Anal Chem] 2015 Mar 03; Vol. 87 (5), pp. 2937-44. Date of Electronic Publication: 2015 Feb 10.Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic

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Academic Journal

Benchmarking study of parameter variation when using signature fingerprints together with support vector machines.

  • Authors : Alvarsson J; Department of Pharmaceutical Biosciences, Uppsala University , SE-751 24 Uppsala, Sweden.; Eklund M

Subjects: Support Vector Machine*; Drug Evaluation, Preclinical/Drug Evaluation, Preclinical/Drug Evaluation, Preclinical/*methods; Benchmarking

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2014 Nov 24; Vol. 54 (11), pp. 3211-7. Date of Electronic Publication: 2014 Oct 28.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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Academic Journal

Compartment proteomics analysis of white perch (Morone americana) ovary using support vector machines.

  • Authors : Schilling J; Department of Applied Ecology, College of Agriculture and Life Sciences, ‡W. M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, and §Genomic Sciences Laboratory, North Carolina State University , Raleigh 27695, North Carolina, United States.; Nepomuceno A

Subjects: Support Vector Machine*; Bass/Bass/Bass/*metabolism ; Fish Proteins/Fish Proteins/Fish Proteins/*analysis

  • Source: Journal of proteome research [J Proteome Res] 2014 Mar 07; Vol. 13 (3), pp. 1515-26. Date of Electronic Publication: 2014 Feb 18.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101128775 Publication Model: Print-Electronic

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Academic Journal

Computation of binding energies including their enthalpy and entropy components for protein-ligand complexes using support vector machines.

Subjects: Research Design* ; Support Vector Machine*; Proteins/Proteins/Proteins/*chemistry

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2013 Oct 28; Vol. 53 (10), pp. 2559-70. Date of Electronic Publication: 2013 Oct 04.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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Academic Journal

Prediction of activity cliffs using support vector machines.

  • Authors : Heikamp K; Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany.; Hu X

Subjects: Support Vector Machine*; Algorithms ; Models, Molecular

  • Source: Journal of chemical information and modeling [J Chem Inf Model] 2012 Sep 24; Vol. 52 (9), pp. 2354-65. Date of Electronic Publication: 2012 Aug 23.Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic

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  • 1-10 of  399 results for ""SUPPORT vector machines""