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  1. 4521
    “…This new method effectively resolved the problem of outlier points, and its functions were implemented in Python. The system automatically calculates the Euclidean distance of climatic factors and intersection of soil factors, thus identifying regions with high ecological similarity and those are climatically and edaphically suitable for the cultivation of medicinal plants. …”
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    A new GIS model for ecologically suitable distributions of medicinal plants
  2. 4522
    por D'Angiulli, Amedeo, Devenyi, Peter
    Publicado 2019
    “…The results were then used to build neurocognitive models based on Python ACT-R such that the patterns and the timings of the measured EEG could be reproduced as simplified symbolic representations of spikes, built through simplified electric-field simulations. …”
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    Retooling Computational Techniques for EEG-Based Neurocognitive Modeling of Children's Data, Validity and Prospects for Learning and Education
  3. 4523
    “…-Length (CVL) plots, which can be done using Microsoft Excel or Google Sheets, provides a simple method to understand the structure of a genome assembly and detect aberrant scaffolds or contigs. We provide a Python script that allows assemblies to be filtered to remove contaminants identified in CVL plots.…”
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    Coverage-Versus-Length Plots, a Simple Quality Control Step for de Novo Yeast Genome Sequence Assemblies
  4. 4524
    “…The collected data were submitted to nineteen different classification techniques (available on the scikit-learn library of Python) used in two classifier structures, with the objective of identifying the grasped object. …”
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    Comparing classification techniques for identification of grasped objects
  5. 4525
    “…TETyper is implemented in python and is freely available at https://github.com/aesheppard/TETyper.…”
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    TETyper: a bioinformatic pipeline for classifying variation and genetic contexts of transposable elements from short-read whole-genome sequencing data
  6. 4526
    “…CONCLUSIONS: Keanu provides a simple means by which researchers can explore and visualize species present in sequence data generated from complex communities and environments. Keanu is written in Python and is freely available at https://github.com/IGBB/keanu.…”
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    Keanu: a novel visualization tool to explore biodiversity in metagenomes
  7. 4527
    “…Sunbeam is written in Python using the Snakemake workflow management software and is freely available at github.com/sunbeam-labs/sunbeam under the GPLv3. …”
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    Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments
  8. 4528
    “…METHODS: The Pixel Web App is built with open source technologies and hosted on the collaborative development platform GitHub (https://github.com/Candihub/pixel). It is written in Python using the Django framework and stores all the data in a PostgreSQL database. …”
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    Pixel: a content management platform for quantitative omics data
  9. 4529
    “…Using RT-PCR, we also detected sHDV RNA in two juvenile offspring and in a water python (Liasis mackloti savuensis) in the same snake colony, potentially indicating vertical and horizontal transmission. …”
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    Identification of a Novel Deltavirus in Boa Constrictors
  10. 4530
    “…STATISTICAL ANALYSIS USED: Data was analyzed descriptively using machine learning codes on python platform. RESULTS: Records of 489 people who attended the clinic during the 6-month period were retrieved. …”
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    Drug Prescription Patterns and Cost Analysis of Diabetes Therapy in India: Audit of an Endocrine Practice
  11. 4531
    “…AVAILABILITY AND IMPLEMENTATION: DeepGSR is implemented in Python using Keras API; it is available as open-source software and can be obtained at https://doi.org/10.5281/zenodo.1117159. …”
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    DeepGSR: an optimized deep-learning structure for the recognition of genomic signals and regions
  12. 4532
    por Ye, Xiaoxin, Ho, Joshua W. K.
    Publicado 2019
    “…This new clustering algorithm is implemented in python as an open source package, FlowGrid. FlowGrid is memory efficient and scales linearly with respect to the number of cells. …”
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    Ultrafast clustering of single-cell flow cytometry data using FlowGrid
  13. 4533
    “…The omni short tandem repeat finder and primer designer (OSTRFPD) is among the few versatile, platform-independent open-source tools written in Python that enables researchers to identify and analyse genome-wide short tandem repeats in both nucleic acids and protein sequences. …”
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    OSTRFPD: Multifunctional Tool for Genome-Wide Short Tandem Repeat Analysis for DNA, Transcripts, and Amino Acid Sequences with Integrated Primer Designer
  14. 4534
    “…To address these issues, an all-in-one Python algorithm called FluoroCellTrack was developed and its wide-range utility was tested on three different applications including quantification of cellular response to drugs, droplet tracking, and intracellular fluorescence. …”
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    FluoroCellTrack: An algorithm for automated analysis of high-throughput droplet microfluidic data
  15. 4535
    “…To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a Biomass Objective Function from experimental data. …”
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    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data
  16. 4536
    por Stolzenberg, Sebastian
    Publicado 2019
    “…RESULTS: To recover such molecular details, I have developed PySFD (Significant Feature Differences analyzer for Python), a multi-processing software package that efficiently selects significantly different features of any user-defined feature type among potentially many different simulated state ensembles, such as meta-stable states of a Markov State Model (MSM). …”
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    PySFD: comprehensive molecular insights from significant feature differences detected among many simulated ensembles
  17. 4537
    “…The keywords were then reclassified and analyzed using the developed ontology and sentiment dictionary. Python and the R program were used for crawling, natural language processing, and sentiment analysis. …”
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    Health Information Technology Trends in Social Media: Using Twitter Data
  18. 4538
    “…OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based image recognition scheme. …”
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    Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis
  19. 4539
    “…RESULTS: Here, we present PathMe, a Python package that transforms pathway knowledge from three major pathway databases into a unified abstraction using Biological Expression Language as the pivotal, integrative schema. …”
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    PathMe: merging and exploring mechanistic pathway knowledge
  20. 4540
    “…ConFindr is written in Python, and is freely available under the MIT License at github.com/OLC-Bioinformatics/ConFindr.…”
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    ConFindr: rapid detection of intraspecies and cross-species contamination in bacterial whole-genome sequence data
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