These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 31405570)

  • 21. Convolutional neural network based on SMILES representation of compounds for detecting chemical motif.
    Hirohara M; Saito Y; Koda Y; Sato K; Sakakibara Y
    BMC Bioinformatics; 2018 Dec; 19(Suppl 19):526. PubMed ID: 30598075
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity.
    Pham TA; Tran VQ; Vu HT; Ly HB
    PLoS One; 2020; 15(12):e0243030. PubMed ID: 33332377
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Cluster and principal component analysis for Kováts' retention indices on apolar and polar stationary phases in gas chromatography.
    Dallos A; Ngo HS; Kresz R; Héberger K
    J Chromatogr A; 2008 Jan; 1177(1):175-82. PubMed ID: 18067899
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of structured support vector machine backpropagation to a convolutional neural network for human pose estimation.
    Witoonchart P; Chongstitvatana P
    Neural Netw; 2017 Aug; 92():39-46. PubMed ID: 28433431
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Cross-column prediction of gas-chromatographic retention of polybrominated diphenyl ethers.
    D'Archivio AA; Giannitto A; Maggi MA
    J Chromatogr A; 2013 Jul; 1298():118-31. PubMed ID: 23726355
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features.
    Lu X; Chen Y; Li X
    IEEE Trans Image Process; 2018 Jan.; 27(1):106-120. PubMed ID: 28952940
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Antimicrobial peptide identification using multi-scale convolutional network.
    Su X; Xu J; Yin Y; Quan X; Zhang H
    BMC Bioinformatics; 2019 Dec; 20(1):730. PubMed ID: 31870282
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of quantitative structure-retention relationship models on four stationary phases with different polarity for a diverse set of flavor compounds.
    Yan J; Cao DS; Guo FQ; Zhang LX; He M; Huang JH; Xu QS; Liang YZ
    J Chromatogr A; 2012 Feb; 1223():118-25. PubMed ID: 22218329
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Characterisation of Gas-Chromatographic Poly(Siloxane) Stationary Phases by Theoretical Molecular Descriptors and Prediction of McReynolds Constants.
    D'Archivio AA; Giannitto A
    Int J Mol Sci; 2019 Apr; 20(9):. PubMed ID: 31035726
    [TBL] [Abstract][Full Text] [Related]  

  • 30. QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction.
    Hung C; Gini G
    Mol Divers; 2021 Aug; 25(3):1283-1299. PubMed ID: 34146224
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Use of self-training artificial neural networks in modeling of gas chromatographic relative retention times of a variety of organic compounds.
    Jalali-Heravi M; Garkani-Nejad Z
    J Chromatogr A; 2002 Feb; 945(1-2):173-84. PubMed ID: 11860134
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Characterisation of lavender essential oils by using gas chromatography-mass spectrometry with correlation of linear retention indices and comparison with comprehensive two-dimensional gas chromatography.
    Shellie R; Mondello L; Marriott P; Dugo G
    J Chromatogr A; 2002 Sep; 970(1-2):225-34. PubMed ID: 12350096
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Toxicity Prediction Method Based on Multi-Channel Convolutional Neural Network.
    Yuan Q; Wei Z; Guan X; Jiang M; Wang S; Zhang S; Li Z
    Molecules; 2019 Sep; 24(18):. PubMed ID: 31533341
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Quantitative structure-retention relationships of polychlorinated naphthalenes in gas chromatography.
    Olivero J; Kannan K
    J Chromatogr A; 1999 Jul; 849(2):621-7. PubMed ID: 10457457
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prediction of HPLC retention index using artificial neural networks and IGroup E-state indices.
    Albaugh DR; Hall LM; Hill DW; Kertesz TM; Parham M; Hall LH; Grant DF
    J Chem Inf Model; 2009 Apr; 49(4):788-99. PubMed ID: 19309176
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Region Aggregation Network: Improving Convolutional Neural Network for ECG Characteristic Detection.
    Chen M; Wang G; Xie P; Sang Z; Lv T; Zhang P; Yang H
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2559-2562. PubMed ID: 30440930
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility Spectrometry.
    Samukhina YV; Matyushin DD; Grinevich OI; Buryak AK
    Biomolecules; 2021 Dec; 11(12):. PubMed ID: 34944547
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of gas chromatographic retention indices of polychlorinated dibenzothiophenes on non-polar columns.
    Sielex K; Andersson JT
    J Chromatogr A; 2000 Jan; 866(1):105-20. PubMed ID: 10681014
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of gas chromatographic retention indices of a diverse set of toxicologically relevant compounds.
    Garkani-Nejad Z; Karlovits M; Demuth W; Stimpfl T; Vycudilik W; Jalali-Heravi M; Varmuza K
    J Chromatogr A; 2004 Mar; 1028(2):287-95. PubMed ID: 14989482
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of Liquid Chromatographic Retention Time with Graph Neural Networks to Assist in Small Molecule Identification.
    Yang Q; Ji H; Lu H; Zhang Z
    Anal Chem; 2021 Feb; 93(4):2200-2206. PubMed ID: 33406817
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.