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  1. 3241
    Identification of key genes as predictive biomarkers for osteosarcoma metastasis using translational bioinformatics
    “.... An important machine learning algorithm, the support vector machine (SVM), was employed to predict key genes...”
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  2. 3242
    Assessing reproducibility and utility of clustering of patients with type 2 diabetes and established CV disease (SAVOR -TIMI 53 trial).
    “... with established CV disease. Unsupervised machine learning technique called "k-means clustering" was used to divide...”
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  3. 3243
    Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway.
    “... and machine learning methods to elucidate the relationship between overall survival (OS) of PTC patients...”
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  4. 3244
    Prediction of outcome in patients with non-small cell lung cancer treated with second line PD-1/PDL-1 inhibitors based on clinical parameters: Results from a prospective, single institution study.
    “... the first 3 months of treatment. JADBio, a machine learning pipeline was applied for further multivariate...”
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  5. 3245
    DNA methylation-based classifier and gene expression signatures detect BRCAness in osteosarcoma.
    “... that detects BRCAness in OS samples with high accuracy. GSEA identified genome instability signatures. Machine...”
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  6. 3246
    Effect of transportation and social isolation on facial expressions of healthy horses.
    “...<0.001) and blink frequency (p<0.001) were also seen. These facial actions were used to train a machine...”
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  7. 3247
    Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model.
    “... highly operator dependent. To address this problem, machine learning algorithms (MLA) can generate...”
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  8. 3248
    Moderate Exercise Has Limited but Distinguishable Effects on the Mouse Microbiome
    “... exercise group compared to the sedentary controls. However, a random forests machine learning model, which...”
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  9. 3249
    A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials
    “... possibilities for applying machine learning models to clinical research for drug-virus association prediction...”
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  10. 3250
    Prediction of lithium response using genomic data
    por William Stone, Abraham Nunes, Kazufumi Akiyama, Nirmala Akula, Raffaella Ardau, Jean-Michel Aubry, Lena Backlund, Michael Bauer, Frank Bellivier, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Cristiana Cruceanu, Alexandre Dayer, Franziska Degenhardt, Maria Del Zompo, Andreas J. Forstner, Mark Frye, Janice M. Fullerton, Maria Grigoroiu-Serbanescu, Paul Grof, Ryota Hashimoto, Liping Hou, Esther Jiménez, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Po-Hsiu Kuo, Ichiro Kusumi, Catharina Lavebratt, Mirko Manchia, Lina Martinsson, Manuel Mattheisen, Francis J. McMahon, Vincent Millischer, Philip B. Mitchell, Markus M. Nöthen, Claire O’Donovan, Norio Ozaki, Claudia Pisanu, Andreas Reif, Marcella Rietschel, Guy Rouleau, Janusz Rybakowski, Martin Schalling, Peter R. Schofield, Thomas G. Schulze, Giovanni Severino, Alessio Squassina, Julia Veeh, Eduard Vieta, Thomas Trappenberg, Martin Alda
    Publicado 2021
    “... machine learning (ML) approach using genomic data. Using the largest existing genomic dataset...”
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  11. 3251
    Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma
    “...Abstract Radiogenomics uses machine-learning (ML) to directly connect the morphologic...”
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  12. 3252
    What Does Sleeping Brain Tell About Stress? A Pilot Functional Near-Infrared Spectroscopy Study Into Stress-Related Cortical Hemodynamic Features During Sleep
    por Zilu Liang, Zilu Liang
    Publicado 2021
    “... importance score for each feature based on the assessment of six statistical and machine learning techniques...”
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  13. 3253
    DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology
    “... channel hERG in this study). In our model, we applied an RNN as the agent and machine learning predictors...”
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  14. 3254
    ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition
    “.... Results To address this problem, we proposed a novel machine-learning approach for predicting...”
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  15. 3255
    Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors
    “..., which are higher than those of traditional machine learning models and U-Net. Second, the training time...”
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  16. 3256
    Molecular Mechanisms Associated with Clustered Lesion-Induced Impairment of 8-oxoG Recognition by the Human Glycosylase OGG1
    “... molecular dynamics simulations and machine-learning-based postanalysis to explore the molecular mechanisms...”
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  17. 3257
    Human facial neural activities and gesture recognition for machine-interfacing applications
    “... controllers.Keywords: neural system, neural activity, electromyography, machine learning, muscle activity...”
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  18. 3258
    Anticancer Potential of Green Synthesized Silver Nanoparticles of the Soft Coral <i>Cladiella pachyclados</i> Supported by Network Pharmacology and In Silico Analyses
    “... extract. Firstly, using two independent machine-learning-based prediction software platforms, most...”
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  19. 3259
    Digging into the behaviour of an active hunting predator: arctic fox prey caching events revealed by accelerometry
    “... behaviour. Multiple supervised machine learning algorithms were tested to classify accelerometry data into 4...”
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  20. 3260
    Development of Dialogue Management System for Banking Services
    “... investigated both built-in LI methods such as fastText and custom machine learning (ML) models trained...”
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