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FarisHrvat/README.md

Faris Hrvat, data scientist and computational biologist


I'm a data scientist and computational biologist. Most of my work is spatial data: imaging mass cytometry, spatial metabolomics and spatial transcriptomics. I also work with single-cell and bulk RNA-seq, and I build machine learning and neural network models. I know the deep learning side well.

Now and then I write software that makes analysis easier for people at the bench. AssayPlot is one of those, and it's public. Most of the research code isn't yet.

AssayPlot

AssayPlot showing a figure and its statistics

A free desktop app for lab statistics and publication figures.

43 analyses and 37 plot types, and every procedure is checked against R. It runs offline on macOS, Windows and Linux. You don't need an account.

Release CI

Website · Download · Code

What I use

Mostly
Python

When a project needs them
R, TypeScript

Enough to get by
JavaScript, HTML, CSS, Rust

Popular repositories Loading

  1. assayplot assayplot Public

    Free, open-source statistics and publication figures for the lab. 43 analyses checked against R. Runs offline on macOS, Windows and Linux.

    TypeScript 18 4

  2. PDFConvert PDFConvert Public

    Python

  3. mortis mortis Public

    Cohort-scale analysis for spatial metabolomics: patient-level statistics, differential spatial organization, and publication figures.

    Python

  4. anythingmcp anythingmcp Public

    Forked from HelpCode-ai/anythingmcp

    Turn any REST, SOAP, GraphQL, OData or SQL API into MCP tools for Claude & ChatGPT. Self-hosted. 265 connectors: SAP S/4HANA & Business One, ERP, e-commerce.

    TypeScript

  5. FarisHrvat FarisHrvat Public

    Profile

  6. vision-memory-mcp vision-memory-mcp Public

    Forked from putervision/vision-memory-mcp

    Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

    TypeScript