UniSpec: Deep Learning for Predicting the Full Range of Peptide Fragment Ion Series to Enhance the Proteomics Data Analysis Workflow by Joel Lapin (3818551)

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Python and R scripts to replicate the analyses in this paper. by K. James Soda (9427779)

Shoreline Prediction ArcPy Tool by Stephen Escarzaga (7879877)

Subjects: “…Geospatial information systems and geospatial data modelling…”

Enhancing QSAR Predictive Power and Explainability: Meta-Modeling and SHAP Feature Importance Analysis for Drug Discovery (Python Scripts) by Ardo Sanjaya (18321300)

Predictive Coding Versus Backpropagation Code by Robert Rosenbaum (4891870)

“…Python code to produce all figures from "On the Relationship Between Predictive Coding and Backpropagation"…”

Who has ears, listen: Citizen Listening Program for disease prevention. by Ramiro García Pereira (2836310)

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)

Key parameters and results in China (except Hubei) prediction model. by Bo Zhang (6559)

Key parameters and results in Hubei (except Wuhan) prediction model. by Bo Zhang (6559)

Spin labeling proteins and predicting spin label distance distributions. by Maxx H. Tessmer (4175287)

Comparison of distance distribution predictions using different scoring functions. by Maxx H. Tessmer (4175287)

Working capital credit evaluation model using Python language applied to public banking: Case study in shrimp project by Bernardo Cordero (11794946)

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Data_Sheet_1_Prediction of Neural Diameter From Morphology to Enable Accurate Simulation.docx by Jonathan D. Reed (10915044)

Initial Weight Models of Predictive Coding Deep Neural Network (Chainer & Pytorch) by Eiji Watanabe (3862120)

“…Sample Initial Weight Model of Predictive Coding Deep Neural Network.<div><br></div><div><div>Use the model with predictive coding deep neural network,</div><div>https://doi.org/10.6084/m9.figshare.5483710</div><div>and with training dataset,</div><div>https://doi.org/10.6084/m9.figshare.5483668</div><div><br></div><div>Sample command.…”

Predictive Global Models of Cruzain Inhibitors with Large Chemical Coverage by Jose Guadalupe Rosas-Jimenez (10263558)

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Assignment of Regioisomers Using Infrared Spectroscopy: A Python Coding Exercise in Data Processing and Machine Learning by Samuel T. Cahill (18855105)

“…Herein we present an exercise aimed at introducing machine learning alongside improving students’ general Python coding abilities. The exercise aims to identify the regioisomerism of disubstituted benzene systems solely from infrared spectra, a simple and ubiquitous undergraduate technique. …”

Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations;... by Xuzhen He (14676114)

Prediction of Cytochrome P450 Inhibition Using a Deep Learning Approach and Substructure Pattern Recognition by Zhaoyang Chen (1449478)

“…In the present study, the deep learning models based on python using the Keras framework and TensorFlow were developed for the chemical inhibition of each CYP isoform. …”

Prediction of Cytochrome P450 Inhibition Using a Deep Learning Approach and Substructure Pattern Recognition by Zhaoyang Chen (1449478)

“…In the present study, the deep learning models based on python using the Keras framework and TensorFlow were developed for the chemical inhibition of each CYP isoform. …”