Parse, read, and write FCS files into NumPy arrays and metadata.
npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill flowio-wsxwj123
Please help me install this Agent Skill. Skill: flowio Source: https://github.com/wsxwj123/opencode-skills-backup/tree/main/flowio Command: npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill flowio-wsxwj123
FlowIO simplifies reading, parsing, and writing Flow Cytometry Standard (FCS) files to enable automated extraction of events, metadata, and channel information for downstream analysis.
Load an FCS file with FlowData and print basic metadata or convert the event data to a NumPy array.
High-intent search queries and answers about installing and using this skill.
You can parse FCS files into NumPy arrays using the FlowData API component to extract events, metadata, and channel information for downstream analysis. It supports FCS versions 2.0, 3.0, and 3.1.
Yes, FCS event data can be converted to CSV or DataFrame formats. After reading the FCS file into NumPy arrays, you can export the extracted events, channel names, and metadata for downstream analysis.
Yes, the parser handles single and multi-dataset FCS files. It supports FCS versions 2.0, 3.0, and 3.1, allowing you to read multiple data sets and extract events using the read_multiple_data_sets component.
You can create and export new FCS files from arrays using the create_fcs API component. This allows you to write Flow Cytometry Standard files with optional descriptive channel names and metadata.
You can access and manipulate metadata, channel names, and per-channel information by loading the FCS file with FlowData. This enables automated extraction of events and metadata for preprocessing.
robinbarvaagParse FCS files into NumPy arrays, metadata, and channel information.
K-Dense-AIParse FCS files and extract event data as NumPy arrays.
mkurmanParse FCS files to extract event data and metadata into NumPy arrays or DataFrames.
rubenslivParse FCS 2.0 to 3.1 files to extract event data and metadata.
