Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
-
Updated
Nov 18, 2024 - Python
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.
Overrepresentation analysis for KEGG and PID pathways using community detection
Benchmarks for data processing systems: Pathway, Spark, Flink, Kafka Streams
A parallel API crawler for the retrieval of Kyoto Encyclopedia of Genes and Genomes metabolic and genomics data.
PKB (Pathway-based Kernel Boosting): use gene expression for classification
DEPRECATED: Integrating topologically associating domains (TADs) to prioritize GWAS signal
Python implementation of a bipartite directed multigraph extracted from the Reactome biological pathway database.
PKB: use clinical features and gene expression to predict outcomes of interest. Support classification, regression, and survival analysis
[UNDER DEVELOPMENT] ExamInsight is a RAG application designed to analyze previous exam question papers and identify common question patterns. This tool aims to help students prepare more effectively for their exams by providing insights into frequently asked questions and topics.
Pathway vs Spark for Streaming Analytics
HuberMind AI is an innovative tool inspired by the expertise of neuroscientist Andrew Huberman. Just 'Ask Andrew' anything you want to know, and get intelligent, AI-powered responses.
A highly-configurable, real-time data quality monitoring tool designed for streaming data
Add a description, image, and links to the pathway topic page so that developers can more easily learn about it.
To associate your repository with the pathway topic, visit your repo's landing page and select "manage topics."