This tool calculates the novel ARKA descriptors – an innovation from the DTC Laboratory. This framework presents a novel supervised dimensionality reduction technique that may be useful for the data set modelability analysis, the identification of activity cliffs, and small dataset classification modeling.

Download from here (uploaded to this site on March 25, 2024; Presently restricted)

Ref: Banerjee, A., Roy, K., 2024. ARKA: A framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data-gap filling of sparse environmental toxicity data, Environ Sci: Process Impacts, https://doi.org/10.1039/D4EM00173G .

To use this tool, please fill in https://forms.gle/1r3TTy7RmZCQvqBt5 and sign the License agreement form

Further updates on ARKA from here