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المؤلفون: Yotsawat Pomyen, Kwanjeera Wanichthanarak, Patcha Poungsombat, Johannes F. Fahrmann, Dmitry Grapov, Sakda Khoomrung
المصدر: Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 2818-2825 (2020)مصطلحات موضوعية: CNN, Convolutional Neural Network, SMILE, Sparse Multidimensional Iterative Lineshape-enhanced, Computer science, ANN, Artificial Neural Network, CFM-EI, Competitive Fragmentation Modeling-Electron Ionization, SMILES, Simplified Molecular-Input Line-Entry System, Review, computer.software_genre, Biochemistry, Convolutional neural network, Omics data, 0302 clinical medicine, DNN, Deep Neural Network, Structural Biology, m/z, mass/charge ratio, NEIMS, Neural Electron-Ionization Mass Spectrometry, SMARTS, SMILES arbitrary target specification, ER, Estrogen Receptor, 0303 health sciences, Artificial neural network, NUS, Non-Uniformly Sampling, LC-MS, Liquid Chromatography-Mass Spectrometry, ReLU, Rectified Linear Unit, Computer Science Applications, Identification (information), RNN, Recurrent Neural Network, MLP, Multi-layered Perceptron, ML, Machine Learning, 030220 oncology & carcinogenesis, RF, Random Forest, Biotechnology, Curse of dimensionality, lcsh:Biotechnology, Biophysics, ECFP, Extended Circular Fingerprint, NMR, Nuclear Magnetic Resonance, Machine learning, FID, Free Induction Decay, FTIR, Fourier Transform Infrared, 03 medical and health sciences, AI, Artificial Intelligence, Metabolomics, lcsh:TP248.13-248.65, Genetics, Metabolome, FP score, Fingerprint correlation score, 030304 developmental biology, ComputingMethodologies_COMPUTERGRAPHICS, MS, Mass Spectrometry, Mass spectrometry, business.industry, Deep learning, DL, Deep Learning, IST, Iterative Soft Thresholding, SRA, Sequence Read Archive, HDLSS data, High Dimensional Low Sample Size data, PARAFAC2, Parallel Factor Analysis 2, NMR, GC–MS, Gas Chromatography-Mass Spectrometry, AUC, Area Under the receiver-operating characteristic Curve, CCS value, Collision Cross Section value, LSTM, Long Short-Term Memory, istHMS, Implementation of IST at Harvard Medical School, Artificial intelligence, business, computer, VAE, Variational Autoencoder