Parse and create FCS files, converting event data to NumPy arrays or Pandas DataFrames.
npx skills add https://github.com/yf8578/clawomics --skill flowio-yf8578
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/yf8578/clawomics/tree/main/skills/flowio Command: npx skills add https://github.com/yf8578/clawomics --skill flowio-yf8578
This Skill simplifies the process of reading, writing, and manipulating Flow Cytometry Standard (FCS) files, a common format in biological research.
Use the flowio skill to parse the file 'experiment.fcs' and print its event count.
High-intent search queries and answers about installing and using this skill.
To parse FCS files in Python, you can extract metadata, channel information, and event data, then convert the event data into NumPy arrays or Pandas DataFrames for downstream analysis. It supports FCS versions 2.0, 3.0, and 3.1.
Yes, you can generate new Flow Cytometry Standard (FCS) files directly from NumPy arrays. This process allows you to include optional metadata and channel names when creating the FCS file.
Batch-processing flow cytometry data involves reading a directory of FCS files to extract key metadata like acquisition date and instrument, then converting the event data into a suitable format such as NumPy arrays or Pandas DataFrames for analysis.
Yes, this FCS parsing method supports older flow cytometry file versions, specifically including FCS version 2.0, alongside versions 3.0 and 3.1, ensuring compatibility with various flow cytometry instruments.
Converting flow cytometry event data to a Pandas DataFrame is done by parsing the FCS file to extract the event data and transforming it directly into a DataFrame structure, making it suitable for downstream analysis in Python.
You can extract metadata such as the acquisition date and instrument information from an FCS file. The parsing process also retrieves channel information and event data from the flow cytometry experiment.
Yezez9Parse FCS files into NumPy arrays and metadata.
luokai25Automate data analysis and predictive modeling with Pandas, NumPy, Scikit-learn, and XGBoost.
Zeyuyang-0420Parses FCS files to extract metadata and event data for analysis.
felixboehmParse FCS files into NumPy arrays and extract channel metadata.
