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  1. 4601
    “…To address this, we present an open-source tool that enables online feedback during electrophysiology experiments and provides a Python interface for the widely used Open Ephys open source data acquisition system. …”
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    OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys
  2. 4602
    por Dhyani, Manyu, Kumar, Rajiv
    Publicado 2021
    “…The experiments are conducted using Tensorflow using python 3.6. The perplexity, leaning rate, Bleu score and Average time per 1000 steps are 56.10, 0.0001, 30.16 and 4.5 respectively. …”
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    An intelligent Chatbot using deep learning with Bidirectional RNN and attention model
  3. 4603
    “…The application was designed in Python using a scoring and ranking system based on frequency and severity, computed for each ADR and expressed through an online platform. …”
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    The development of a scoring and ranking strategy for a patient-tailored adverse drug reaction prediction in polypharmacy
  4. 4604
    “…The Keras library, which is written in Python, was used to train and test the model on a single NVidia 1080Ti GPU. …”
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    Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks
  5. 4605
    por Homolak, J., Kodvanj, I., Virag, D.
    Publicado 2020
    “…The RISmed R package, and a custom Python script were used to fetch metadata on articles indexed in PubMed and published on Rxiv preprint server. …”
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    Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders
  6. 4606
    por Xiao, Will, Kreiman, Gabriel
    Publicado 2020
    “…XDream is implemented in Python, released under the MIT License, and works on Linux, Windows, and MacOS.…”
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    XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization
  7. 4607
    “…OligoMiner is an open-source and modular pipeline written in Python that introduces a novel method of assessing probe specificity that employs supervised machine learning to predict probe binding specificity from genome-scale sequence alignment information. …”
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    OligoMinerApp: a web-server application for the design of genome-scale oligonucleotide in situ hybridization probes through the flexible OligoMiner environment
  8. 4608
    “…Users can perform miRNA set enrichment analysis using either the web-interface, a dedicated Python package, or custom remote clients. Moreover, the number of category sets was raised by an order of magnitude. …”
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    miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems
  9. 4609
    “…AVAILABILITY AND IMPLEMENTATION: ICGS2 is implemented in Python. The source code and documentation are available at http://altanalyze.org. …”
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    Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF
  10. 4610
    “…Here, we compared the localization performance of the LCMV beamformer pipelines in four widely used open-source toolboxes (MNE-Python, FieldTrip, DAiSS (SPM12), and Brainstorm) using datasets both with and without SSS interference suppression. …”
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    Comparison of beamformer implementations for MEG source localization
  11. 4611
    “…AVAILABILITY AND IMPLEMENTATION: The Python package for MAGGIE is freely available at https://github.com/zeyang-shen/maggie. …”
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    MAGGIE: leveraging genetic variation to identify DNA sequence motifs mediating transcription factor binding and function
  12. 4612
    “…The associated software is available as an open-source Python package and standalone resource for use in genome annotation, synthetic biology, and biotechnology workflows.…”
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    Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy
  13. 4613
    por Henderson, Donna, Lunter, Gerton
    Publicado 2019
    “…Finally we use IOEM to fit two models to a financial time series. A Python implementation is available at https://github.com/luntergroup/IOEM.git.…”
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    Efficient inference in state-space models through adaptive learning in online Monte Carlo expectation maximization
  14. 4614
    “…METHODS: Publications indexed in PubMed under the Medical Subject Headings (MeSH) term ‘Rectal Neoplasms’ from 1994 to 2018 were downloaded in September 2019. R and Python were used to extract publication date, MeSH terms and abstract from the metadata of each publication for bibliometric assessment. …”
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    A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed
  15. 4615
    “…Presented results were generalized evaluation of both balanced and imbalanced models, which implies their ability of classifying, to classify novel riboswitches. The Python source code is available at https://github.com/Seasonsling/riboswitch.…”
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    A novel riboswitch classification based on imbalanced sequences achieved by machine learning
  16. 4616
    “…CNA_origin was written in Python and can be downloaded from https://github.com/YingLianghnu/CNA_origin.…”
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    A Deep Learning Framework to Predict Tumor Tissue-of-Origin Based on Copy Number Alteration
  17. 4617
    “…The images of CTCs were then segmented by image denoising, image filtering, edge detection, image expansion and contraction techniques using python’s openCV scheme. Subsequently, traditional image recognition methods and machine learning were used to identify CTCs. …”
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    A New Method for CTC Images Recognition Based on Machine Learning
  18. 4618
    por Myers, Bethany
    Publicado 2020
    “…Descriptive analysis in Python identified the number of presentations, disambiguated authors, author collaboration, institutional affiliation type, and geographic affiliation. …”
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    What we talk about when we talk about medical librarianship: an analysis of Medical Library Association annual meeting abstracts, 2001–2019
  19. 4619
    “…To assess and visualize pancreatic microcirculation profiles, raw data of pancreatic microcirculation profiles were processed and transformed using interquartile range and min-max normalization by Python and Apache ECharts. RESULTS: The multimodal device–based platform was established and 3-dimensional microcirculatory modules were constructed. …”
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    Multimodal Device and Computer Algorithm–Based Monitoring of Pancreatic Microcirculation Profiles In Vivo
  20. 4620
    “…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”
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    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory
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