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  1. 5581
    “…Here, we present the open-access Python package GlyLES for the generalizable generation of SMILES representations out of IUPAC-condensed representations. …”
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    GlyLES: Grammar-based Parsing of Glycans from IUPAC-condensed to SMILES
  2. 5582
    por Lötsch, Jörn, Ultsch, Alfred
    Publicado 2023
    “…The cABC method is implemented in the Python package "cABCanalysis" available at https://pypi.org/project/cABCanalysis/.…”
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    Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size
  3. 5583
    “…RESULTS: We have developed RNAlysis, a modular Python-based analysis software for RNA sequencing data. …”
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    RNAlysis: analyze your RNA sequencing data without writing a single line of code
  4. 5584
    “…The proposed EDHA is implemented in the Python platform and evaluates the performance in terms of accuracy, sensitivity, specificity, precision, f1-score, AUC, and MCC. …”
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    Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
  5. 5585
    “…According to the applicability and efficacy of the machine learning model, natural language processing toolkit in python is utilised in to examine the textual polarity and subjectivity score of tweets. …”
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    Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War
  6. 5586
    “…Here we introduce HLA-Clus, a Python package for clustering HLA Class I alleles using the method we developed recently and describe additional features including a new nearest neighbor clustering method that facilitates clustering based on user-defined criteria. …”
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    HLA-Clus: HLA class I clustering based on 3D structure
  7. 5587
    “…In this study, we introduce and release MarLe, a Python markerless head tracker neuronavigation software for TMS. …”
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    MarLe: Markerless estimation of head pose for navigated transcranial magnetic stimulation
  8. 5588
    “…CONCLUSION: scSemiAAE is a Python-based algorithm implemented on the VSCode platform that provides efficient visualization, clustering, and cell type assignment for scRNA-seq data. …”
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    scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data
  9. 5589
    “…METHODS: We use R for statistical analysis and Python for the machine learning prediction model. …”
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    Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms
  10. 5590
    “…MRI images of tumors were segmented with ITK-SNAP software, and python open-source platform was used for texture analysis. …”
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    Radiomics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Preoperative Differentiation of Combined Hepatocellular-Cholangiocarcinoma from Hepatocellular Carcinoma: A Multi-Center Study
  11. 5591
    “…Data analysis was conducted using the Apriori algorithm of Python software, set to mine the strong association rules of positive correlation between chronic disease comorbidities of middle-aged and older adults residents. …”
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    Identification of status quo and association rules for chronic comorbidity among Chinese middle-aged and older adults rural residents
  12. 5592
    “…Several files are provided, including data files and Python scripts for data processing and plot generation. …”
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    One year of high-precision operational data including measurement uncertainties from a large-scale solar thermal collector array with flat plate collectors, located in Graz, Austria
  13. 5593
    “…When evaluating across different datasets, our method showed good generalizability with a cluster-wise TPR >80 % with different modalities. The python implementation of the proposed method is openly available.…”
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    Automated detection of cerebral microbleeds on MR images using knowledge distillation framework
  14. 5594
    “…This study aimed to determine the factors that associate serum anti-HSP27 antibody titers using ensemble machine learning methods and to demonstrate the magnitude and direction of the predictors using PFI and SHAP methods. The study employed Python 3 to apply various machine learning models, including LightGBM, CatBoost, XGBoost, AdaBoost, SVR, MLP, and MLR. …”
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    Prediction of serum anti-HSP27 antibody titers changes using a light gradient boosting machine (LightGBM) technique
  15. 5595
    “…These data sets were used to train and test a model that used a random forest algorithm (devised using Python) to minimize the number of anonymous lifestyle-based questions needed to identify risk groups for HSV. …”
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    Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study
  16. 5596
    “…SigProfilerMatrixGenerator is written in Python with an R wrapper package provided for users that prefer working in an R environment. …”
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    Visualizing and exploring patterns of large mutational events with SigProfilerMatrixGenerator
  17. 5597
    “…The performance of the prediction models was evaluated by various indicators (sensitivity, specificity, precision, accuracy, F1-score, PRC, AuROC, and NormMCC) to determine the optimal time point for data selection. Python version 3.8 was used for statistical analyses. …”
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    Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam
  18. 5598
    “…Here we introduce TorchLens, a new open-source Python package for extracting and characterizing hidden-layer activations in PyTorch models. …”
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    Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens
  19. 5599
    “…We demonstrate that using the RScore or RSPred as a constraint during molecular generation enables our molecular generators to produce more synthesizable solutions, with higher diversity. The open-source Python code containing all the scores and the experiments can be found on (https://github.com/iktos/generation-under-synthetic-constraint). …”
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    Integrating synthetic accessibility with AI-based generative drug design
  20. 5600
    “…Using open-source software in Python, the results of viscosity, liquid, and solid fraction of the slag, as a function of composition and temperature, are represented by multiple color maps and by iso-viscosity contours. …”
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    Thermodynamic evaluation of viscosity behavior for CaO–SiO(2)–Al(2)O(3)–MgO slag systems examined at the temperatures range from 1500 to 1700 °C
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