1. AlphaML - A collection of CLETE binary classification models. PyPi, GitHub, Preprint, Article.
2. VenDx - Drug response prediction using Deep Tabular Data Learning. GitHub, Article
3. Xputer - An XGBoost-powered robust imputer. PyPi GitHub, Preprint, Article.
4. Xepto50 - A drug sensitivity prediction tool. PyPi, GitHub, Preprint, Article.
5. XeroGraph - Analyze data with missing values. PyPi GitHub ReadTheDoc, Article.
6. Xpectrass - From preprocessing to Machine Learning for Spectral Data. PyPI, GitHub, ReadTheDoc, Preprint.
7. mioXpektron - A comprehensive Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) data processing toolkit. PyPI, GitHub, ReadTheDoc,
8. U-MIMIC - Unified Mechanistic Inference from Multimodal Imaging and Counts. PyPI, GitHub, ReadTheDoc,
9. ExposoGraph - An Interactive Platform for Carcinogen Bioactivation and Detoxification Pathway Visualization. PyPI, GitHub, ReadTheDoc, Streamlit, Preprint
10. Xynergy - To calculate drug synergy from dose-response matrices with minimal data. PyPI, GitHub, ReadTheDoc, Streamlit
11. Carcinogen Harmonizer - Build a normalized carcinogen dataset from a curated seed CSV and expand from IARC classifications. GitHub, Streamlit
12. XME explorer - HGNC-backed Phase I, Phase II, and Phase III xenobiotic-metabolizing enzymes and transporters. GitHub, Streamlit HGNC-backed Phase I, Phase II, and Phase III xenobiotic-metabolizing enzymes and transporters