ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. by Alexander Kroll (9304225)

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Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. by Alexander Kroll (9304225)

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Runtime comparison using our API vs published/standard Python implementations. by Lu Bin Liu (14279482)

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The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

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Calibration model of biomass-dependent backscatter measurement. by Laura Marie Helleckes (12206910)

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Data structures and computation graph of murefi models. by Laura Marie Helleckes (12206910)

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ProSmith outperforms previous models in the prediction of Michaelis constants <i>K</i>_M especially for enzymes not highly similar to proteins in the training set. by Alexander Kroll (9304225)

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Data_Sheet_1_An Open-Source Tool for Anisotropic Radiation Therapy Planning in Neuro-oncology Using DW-MRI Tractography.pdf by Kesshi Jordan (7329089)

“…We present an open-source WMPL tool, implemented in the package Diffusion Imaging in Python (DIPY), and code to convert the resulting WMPL map to anisotropic contours for RT in a commercial treatment planning system. …”

Linear (top) and logistic (bottom) calibration model of glucose assay. by Laura Marie Helleckes (12206910)

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Predictions, observations and residuals of Monod model fitted to backscatter data. by Laura Marie Helleckes (12206910)

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Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

Schematic example of multiscale modelling implementation. by Robyn M. Stuart (3754000)

Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

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Accuracy of the segmentation model. by Owen M. O’Connor (11965460)

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A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS by Zhentao Wang (13042179)

“…<p>A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS</p>…”

Parameters and units for the Microbial Consumer Resource Model. by Robert Marsland (8616483)

Measurements and maximum likelihood estimate of <i>C</i>. <i>glutamicum</i> growth Monod model. by Laura Marie Helleckes (12206910)

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Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

“…Here, we introduce an application programming interface (API) that implements both BART and GP for estimating averaged treatment effect (ATE) and conditional averaged treatment (CATE) for the two-stage time-varying treatment strategies.…”

Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule by Leyla Noroozbabaee (14301173)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”