Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science
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Updated
Nov 12, 2024 - Jupyter Notebook
Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science
cBioPortal for Cancer Genomics
Precision Medicine Knowledge Graph (PrimeKG)
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
High performance data storage for importing, querying and transforming variants.
Extended Joint Models for Longitudinal and Survival Data
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
Text-mined knowledgebase for drivers, oncogenes and tumor suppressors in cancer
mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data
An Artificial Neural Network-based discriminator for validating clinically significant genomic variants
Methods for subgroup identification / personalized medicine / individualized treatment rules
Text mining cancer biomarkers for the CIVIC database
Patient-Specific Modeling in Python
Initial data release for drug-target interactions of the cancer targetome.
Subclassification of disease states based on the intersection of literature and expression
Model-Informed Precision Dosing (MIPD) with R
WebGen Vertically Integrated Project
Services and guidelines for normalizing drug and other therapy terms
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