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tool implementing » model implementing (Expand Search), trial implementing (Expand Search), from implementing (Expand Search)
tool implementing » model implementing (Expand Search), trial implementing (Expand Search), from implementing (Expand Search)
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161
Core data
Published 2025“…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …”
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162
Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event
Published 2025“…Includes imputation statistics, data dictionary, and the Python imputation code (Imputation_Air_Pollutants_NABEL.py). …”
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163
Data files accompanying our PLoS One publication
Published 2025“…The videos were digitized and the positional data were saved in .xlsx or .csv format, respectively. The python codes contain the numerical implementations of our mathematical models.…”
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164
Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service)
Published 2025“…Scikit-learn: Machine Learning in Python. In Journal of Machine Learning Research (Vol. 12, pp. 2825-2830).Pengra, B. …”
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165
Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model
Published 2025“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”
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166
Gene Editing using Transformer Architecture
Published 2025“…., the H-Bot sequence), it facilitates on-screen gene editing, enabling targeted mutations or the insertion of desired genes. Implementation requires Python and deep learning frameworks like TensorFlow or PyTorch, with optional use of Biopython for genetic sequence handling. …”
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167
MSc Personalised Medicine at Ulster University
Published 2025“…</b> Introducing computational approaches to studying genes, proteins or metabolites, this module teaches Python coding, data analysis and how to work with the databases that support data analysis.…”