Python code to find amino acid positions with matched anchor residue motifs and probable escape variants associated with HLA-Class-I binding. by Nobubelo K. Ngandu (12075108)

Python code to find amino acid positions with matched anchor residue motifs and probable escape variants associated with HLA-Class-II binding. by Nobubelo K. Ngandu (12075108)

Python’s Evolution on Stack Overflow: An Empirical Analysis of Topic Trends by Hu Fengqi (20971700)

“…The original data source is from : <b>h</b><b>ttps://archive.org/details/stackexchange</b></p><h2>Training Data</h2><p dir="ltr">Each set contains two files, Training Set and Rater, Training Set is the content of the training set, i.e., the file in which the model is directly trained, and the Grade column is the result of the machine's prediction.The Rater file contains the data of the manual scoring, and contains the following sections:</p><p dir="ltr">1. the rating data for each rater, with the specific column name Rater- rater number (e.g. …”

af3cli: Streamlining AlphaFold3 Input Preparation by Philipp Döpner (21028454)

“…Featuring a user-friendly command-line interface and an accompanying Python library, af3cli simplifies the input generation process while maintaining flexibility and customization, which makes af3cli especially useful for fast (automated) generation of a large number of input files since it enables direct incorporation of FASTA files, keeps track of IDs, and validates the JSON file. …”

Spherical Texture method design. by Oane Gros (20636735)

“…<b>H)</b> The <i>Spherical Texture</i> extraction is implemented as a Python package and it is directly available in <i>ilastik</i>, allowing for its adoption into the Object Classification workflow. …”

Melbournevirus protein structure prediction - AlphaFold3 by Lars Mühlberg (21524075)

“…Model parameters were received directly from Google. Number of multimer predictions per model was set to 1. …”

Predicting coding regions on unassembled reads, how hard can it be? - Genome Informatics 2024 by Amanda Clare (98717)

“…The locations and directions of the predictions on the reads are then combined with the information about locations and directions of the reads on the genome using Python code to produce detailed results regarding the correct, incorrect and alternative starts and stops with respect to the genome-level annotation.…”

Heat Map Correlation. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

Research Methodology. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

Spearman’s Rank Correlation. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

Result of Stepwise Regression. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

Variance Inflation Factor. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

Pearson Correlation Matrix. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

Evaluation Metrics for LSTM Model and GRU Model. by Majed Alzara (20700224)

“…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …”

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

“…</li></ul><p dir="ltr">The pipeline supports both direct prediction generation and structured evaluation with minimal setup. …”

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. …”

Data and analysis codes for coarse-grained simulations of metal-organic cages by Emma Wolpert (21223817)

“…<p dir="ltr">The dataset relates to the study <i>“The role of shape and interaction directionality in the crystalline phase behaviour of octahedral metal–organic cages,” w</i>hich<i> </i>introduces a computational framework that combines semi-empirical dimer calculations with coarse-grained modelling to predict how octahedral metal-organic cages crystallise. …”

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx by Piyachat Udomwong (22563212)

“…We present ParaDeep, a lightweight and interpretable deep learning framework for residue-level paratope prediction directly from amino acid sequences. ParaDeep integrates bidirectional long short-term memory networks with one-dimensional convolutional layers to capture both long-range sequence context and local binding motifs. …”

GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

“…</p><p dir="ltr">All data are stored in GeoTIFF (.tif) format and can be accessed and processed using ArcGIS, ENVI, R, and Python. Each GeoTIFF file contains grid-based predictions of habitat suitability, with values ranging from 0 to 1. …”