pubchem-database

Analyze medical datasets, perform health data preprocessing, and build predictive models for clinical research using Python's scientific computing libraries

Retrieves, filters, and analyzes clinical trial data from ClinicalTrials.gov using advanced search and metadata extraction techniques

Performs advanced statistical analysis with regression, hypothesis testing, data visualization, and machine learning model evaluation across various datasets

Efficiently manage and manipulate large, chunked, compressed N-dimensional arrays in scientific computing and data analysis workflows using Zarr.

Streamlines scientific image data management by connecting Python workflows with OMERO's remote microscopy repository and metadata systems

Simplifies scientific computing by providing powerful symbolic mathematics, numerical integration, and plotting capabilities for Python research and engineering tasks.

Performs astronomical data analysis, coordinate transformations, and astrophysical calculations using Python's premier scientific astronomy library.

Queries and retrieves chemical, biological, and pharmacological data from the ChEMBL database for drug discovery and research insights.

Queries and analyzes biological pathway data from the Reactome database, enabling researchers to explore gene interactions and molecular mechanisms.

Automates preprocessing, spike sorting, and visualization of high-density neural recordings from Neuropixels probes for neuroscience research