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  1. 5941
    “…We collected information about experienced blood donors via short message service (SMS) recruitment and developed 7 machine learning-based recruitment models using PyCharm-Python Environment and 13 features which were described as a method for ranking and predicting donors’ intentions to donate blood with a floating number between 0 and 1. …”
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    Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks
  2. 5942
    “…We provide the trained networks, the code for network training and inference as well as the simulation tool as python code and Jupyter notebooks for easy reproducibility. …”
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    ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy
  3. 5943
    “…To analyze clustering in time and place throughout the residential histories, we used Jacquez’s Q with an open-access python program pyjacqQ. RESULTS: The mean number of residencies until the index date was 2.91 for cases and 3.05 for controls (p = 0.0003). …”
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    Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
  4. 5944
    “…METHODS: 10,287,271 SARS-CoV-2 genome sequence samples were downloaded in FASTA format from the GISAID databases from February 24, 2020, to April 2022. Python programming language (version 3.8.0) software was utilized to process FASTA files to identify variants and sequence conservation. …”
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    Global landscape of SARS-CoV-2 mutations and conserved regions
  5. 5945
    por Liu, Jian
    Publicado 2022
    “…My main contributions concerned the modifications of the FPGA firmware and writing of test scripts using C++ and python. I have organized and participated in the laboratory characterizations for AMS 180 nm, GF 130 nm and LF 150 nm prototypes at CPPM, as well as in multiple test sessions of the devices under irradiation at CERN, either at the 24 GeV Proton Synchrotron irradiation center or at a high dose rate X-ray irradiation facility, to study the effects of NIEL and TID on the prototypes. …”
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    Monolithic pixel detector study for the ATLAS tracker at High Luminosity LHC
  6. 5946
    “…METHODS: All complementary DNA (cDNA) libraries were constructed from the epimastigote forms of each line, sequenced and analysed using the Prinseq and Trimmomatic tools for the quality analysis, STAR as the aligner for mapping the reads against the reference genome (T. cruzi Dm28c—2018), the Bioconductor package EdgeR for statistical analysis of differential expression and the Python-based library GOATools for the functional enrichment analysis. …”
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    Transcriptomic analysis of benznidazole-resistant and susceptible Trypanosoma cruzi populations
  7. 5947
    “…We tallied occurrences of these phrases through term frequency analysis, calculated the Moran I statistic to assess geographic variation in 2018, analyzed Google Trends use for the same terms during the same period, and used semantic search with Sentence-BERT in Python to understand contextual use. RESULTS: We found increased use from 2010 to 2019 across all the 29 phrase themes related to health equity and disparities. …”
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    Text Analysis of Trends in Health Equity and Disparities From the Internal Revenue Service Tax Documentation Submitted by US Nonprofit Hospitals Between 2010 and 2019: Exploratory Study
  8. 5948
    “…InferCNV was utilized to calculate the CNV level of melanoma cell subtypes. Python package pySCENIC was used to assess the enrichment of transcription factors and the activity of regulons in melanoma cell subtypes. …”
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    Innovative breakthroughs facilitated by single-cell multi-omics: manipulating natural killer cell functionality correlates with a novel subcategory of melanoma cells
  9. 5949
    “…METHODS: Tweets geolocated to the Philippines (January 1 to March 21, 2020) containing the words coronavirus, covid, and ncov were mined using the GetOldTweets3 Python library. This primary corpus (N=12,631) was subjected to biterm topic modeling. …”
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    Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study
  10. 5950
    “…Here, we report a completely re-implemented version of McClintock written in Python using Snakemake and Conda that improves its installation, error handling, speed, stability, and extensibility. …”
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    Reproducible evaluation of transposable element detectors with McClintock 2 guides accurate inference of Ty insertion patterns in yeast
  11. 5951
    “…Prostate cancer images were manually segmented, and radiomics features were extracted using the Pyradiomics library in Python. We also used an Autoencoder for deep feature extraction. …”
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    Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI
  12. 5952
    “…Furthermore, we designed linear support vector machines (SVMs) using Python 3.7 to automatically differentiate between the 2 classes of photographs based on DeepGestalt's result lists. …”
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    Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study
  13. 5953
    “…Efficient classifiers were preferred rather than transparent functioning classifiers. Python was the most frequently used platform. CONCLUSIONS: Machine learning and NLP models have been highly topical issues in medicine in recent years and may be considered a new paradigm in medical research. …”
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    Machine Learning and Natural Language Processing in Mental Health: Systematic Review
  14. 5954
    “…[Formula: see text] is publicly available as a GitHub repository https://github.com/MSeidelFed/COSNet_i and can be installed using the python installer pip. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04510-z.…”
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    [Formula: see text] : ComplexOme-Structural Network Interpreter used to study spatial enrichment in metazoan ribosomes
  15. 5955
    “…It was developed using SAS Institute software analytics tool and SAS® Vyia® environment and Open-Source environment R ® and Python ® for fast prototyping and modeling. The included variables and the source extraction procedures were presented. …”
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    A real-time integrated framework to support clinical decision making for covid-19 patients
  16. 5956
    por Hu, Beibei, Yin, Guohui, Sun, Xuren
    Publicado 2022
    “…Statistical analysis was conducted with R language or Perl, and artificial neural network (ANN) model was established using Python. Our analysis demonstrated that SNX4/5/6/7/8/10/13/14/15/16/20/22/25/27/30 were higher expressed in GC, whereas SNX1/17/21/24/33 were in the opposite expression profiles. …”
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    Identification of specific role of SNX family in gastric cancer prognosis evaluation
  17. 5957
    “…Metabolite enriched pathways, random forest (RF), support vector machines (SVM) and multilayer perceptron neural network (MLP) were performed using Metaboanalyst 5.0, “caret” R package, “e1071” R package and “Tensorflow” Python package, respectively. RESULTS: Metabolomic analysis revealed significant enrichment of fatty acid and amino acid metabolites in the plasma of SPPT and SNPT patients, where SPPT samples showed a more serious dysfunction in fatty acid and amino acid metabolisms. …”
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    Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis
  18. 5958
    “…APA-Scan is implemented in Python3. Source code and a comprehensive user’s manual are freely available at https://github.com/compbiolabucf/APA-Scan. …”
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    APA-Scan: detection and visualization of 3′-UTR alternative polyadenylation with RNA-seq and 3′-end-seq data
  19. 5959
    “…Quality control, dimension reduction, clustering, and annotation were performed according to the Scanpy workflow based on Python. Cell–cell interactions were explored using the CellPhone database and CellChat. …”
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    Single-cell transcriptomics reveals the role of Macrophage-Naïve CD4 + T cell interaction in the immunosuppressive microenvironment of primary liver carcinoma
  20. 5960
    “…The pipeline has been implemented in Python and complemented by analyses of the “Linguistic Inquiry and Word Count” software. …”
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    The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing
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