Parse FCS files into NumPy arrays and DataFrames with metadata.
npx skills add https://github.com/Sologa/codex-pipeline --skill flowio-sologa
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/Sologa/codex-pipeline/tree/main/.codex/skills/flowio Command: npx skills add https://github.com/Sologa/codex-pipeline --skill flowio-sologa
This Skill simplifies the process of reading, parsing, and extracting data from Flow Cytometry Standard (FCS) files, a common format in biological research.
Use the flowio skill to read the file 'experiment.fcs' and print the number of events and channel names.
High-intent search queries and answers about installing and using this skill.
To parse FCS files, this skill reads flow cytometry data versions 2.0 through 3.1, extracting metadata, channel information, and events as NumPy arrays or Pandas DataFrames for downstream analysis.
Yes, you can convert flow cytometry FCS data to CSV or Pandas DataFrames. This skill transforms extracted event data into these formats to facilitate data preprocessing and analysis.
This FCS parser supports multi-dataset files and handles FCS versions 2.0, 3.0, and 3.1, including necessary data preprocessing transformations for varied flow cytometry file structures.
The best way to extract fluorescence intensity data from multiple FCS files is using this skill to iterate through a directory, reading channel information and events from each file into NumPy arrays.
You can read FCS file metadata and channel names by loading the flow cytometry file into this skill, which automatically parses and exposes the header information alongside the event data.
JosephWoodallParse FCS files into NumPy arrays and extract metadata.
mkurmanParse FCS files to extract event data and metadata into NumPy arrays or DataFrames.
robinbarvaagParse FCS files into NumPy arrays, metadata, and channel information.
jackspaceParse FCS files to extract events as NumPy arrays and metadata.
