Python

Building an Automated Research Workflow

Introduction This tutorial documents the technical innovations and hard-won solutions behind an automated research workflow. This is not a theoretical “how to organize agents” guide—it’s practical documentation of real problems encountered in building a 9-stage automated research pipeline that takes you from a research idea to a completed paper.

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Research Workflow Automation System

Overview Academic research involves repetitive, time-consuming tasks: data cleaning, literature searches, statistical analysis, figure generation, and writing. This system automates the entire research pipeline—from data to final PDF—with a single prompt and zero human intervention.

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PDAC Spatial Transcriptomics Analysis

Overview Analyzed the intersection of nerves and tumor cells in Pancreatic Ductal Adenocarcinoma (PDAC) to understand how the microenvironment facilitates perineural invasion.

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Prognostic Marker Discovery Pipeline

Overview Developed a semi-automated pipeline to standardize heterogeneous public single-cell datasets, enabling the discovery of prognostic markers across multiple tissue types.

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