cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug–Protein–Disease Data by William Mangione (6813548)

“…Analytics of drug–protein interactions on a large proteomic scale provides insight into disease systems while also allowing for prediction of putative therapeutics against specific indications. We present a Python package for analysis of drug–proteome and drug–disease relationships implementing the Computational Analysis of Novel Drug Opportunities (CANDO) platform. …”

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …”

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …”

Code for the HIVE Appendicitis prediction modelRepository with LLM_data_extractor_optuna for automated feature extraction by Anoeska Schipper (18513465)

“…</p><p dir="ltr"><b>LLM Data Extractor optuna repo</b> is a Python framework for generating and evaluating clinical text predictions using large language models (LLMs) like <code>qwen2.5</code>. …”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

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Optimal implementation of vector operations on the GPU platform (single precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY1D;... by Xuzhen He (14676114)

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. …”

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…”

Realistic prediction and engineering of high-Q modes to implement stable Fano resonances in acoustic devices - Data & Codes by Felix Kronowetter (17059481)

Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

“…</li></ul><p dir="ltr"><b>Application Areas</b></p><p dir="ltr">The <b>Multi-Version PYZ Builder Script</b> can be effectively applied in various areas:</p><ul><li><b>Commercial Distribution</b>: Distribute protected Python code to clients or customers, implementing advanced <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>source code protection</b></a> for sales or rentals.…”

Code by Baoqiang Chen (21099509)

“…</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. …”

Analysis of the selected studies in terms of the code representation used. by Fahmi H. Quradaa (17896527)

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Final selected studies and quality assessment scores. by Fahmi H. Quradaa (17896527)

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Average of F1-score across years. by Fahmi H. Quradaa (17896527)

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Research questions and main motivations. by Fahmi H. Quradaa (17896527)

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Analysis of the selected studies in terms of RNN techniques used. by Fahmi H. Quradaa (17896527)

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The available dataset created by the selected studies. by Fahmi H. Quradaa (17896527)

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Comparison of detection techniques based on RNN applications with BigCloneBench dataset. by Fahmi H. Quradaa (17896527)

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Analysis the performance scores of the RNN-based clone detection techniques in detecting of Type-III and Type-IV clones. by Fahmi H. Quradaa (17896527)

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Selected studies and addressed research questions. by Fahmi H. Quradaa (17896527)

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