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Data Commons Client

datacommons-client

K-Dense-AI/claude-scientific-skills

Provides a Python client for querying the Data Commons knowledge graph so teams can resolve entities, fetch statistical observations, and explore public demographic, economic, and health datasets with optional Pandas support.

Molecular ML Toolkit

K-Dense-AI/claude-scientific-skills

DeepChem is a Python library for molecular machine learning, providing featurizers, dataset loaders, splitters, and models spanning traditional ML to GNNs for property prediction, drug discovery, and materials design.

NCBI Gene Explorer

K-Dense-AI/claude-scientific-skills

Access NCBI Gene data via E-utilities or Datasets API to look up genes by symbol or ID, retrieve RefSeqs, GO terms, chromosomal locations, phenotypes, and run batch workflows for annotation pipelines.

Genomic Interval Embeddings

K-Dense-AI/claude-scientific-skills

Geniml builds machine learning workflows around BED and scATAC datasets to learn embeddings for regions, metadata, and cells, enabling similarity searches, clustering, consensus peaks, and downstream analysis of genomic intervals.

Genomic Interval Toolkit

K-Dense-AI/claude-scientific-skills

High-performance Rust toolkit with Python bindings for genomic interval analysis, covering overlap detection, coverage track generation, ML tokenization, reference sequence handling, fragment processing, and scoring workflows for sequencing datasets.

Histolab WSI Tile Processing

K-Dense-AI/claude-scientific-skills

Histolab streamlines whole-slide microscopy by automating tissue detection, tile extraction, and stain normalization for H&E scans, making it ideal for lightweight dataset prep and quick tile-based analysis.

Automated Hypothesis Discovery

K-Dense-AI/claude-scientific-skills

Hypogenic automates LLM-driven hypothesis generation and testing over tabular datasets, blending literature insights with empirical analysis to accelerate discovery in domains like deception detection or AI content evaluation.

Cancer Imaging Data Access

imaging-data-commons

K-Dense-AI/claude-scientific-skills

Query and download the NCI Imaging Data Commons public cancer imaging datasets via idc-index, filter by metadata, fetch DICOM files, visualize series, and respect licensing details for AI training or research.

LaminDB Biological Data Platform

K-Dense-AI/claude-scientific-skills

LaminDB is a Python-driven open-source framework for managing biological datasets, ensuring traceable, reproducible, FAIR data through lineage tracking, schema validation, ontology annotation, workflow integration, and lakehouse-style querying.

Metabolomics Workbench API

metabolomics-workbench-database

K-Dense-AI/claude-scientific-skills

Query the NIH Metabolomics Workbench via REST API to fetch metabolites, RefMet nomenclature, mass-spec searches, and detailed study datasets for biomarker discovery and metabolomics research.

OMERO Microscopy Integration

omero-integration

K-Dense-AI/claude-scientific-skills

Manage microscopy data with the OMERO Python API: access projects/datasets/images, retrieve and analyze pixel data, handle ROIs and annotations, store results in tables, and automate batch workflows for high-content screening.

Healthcare AI Toolkit

K-Dense-AI/claude-scientific-skills

PyHealth delivers a full-stack Python toolkit for building, evaluating, and deploying clinical machine learning models, covering EHR datasets, medical coding systems, physiological signals, and healthcare-tailored architectures such as RETAIN, SafeDrug, and Transformer-based pipelines.

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