NVIDIA-BioNeMo / NVIDIA-BioNeMo/KERMT

Molecules clustering code (PCA and K-means) for training datasets:

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Dominant language
Python
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99
Forks
18
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5d 14h
Merged PRs (30d)
1

Description

Could you please add the script/code for PCA and K-means clustering on the training dataset?

From the paper: "For all public datasets, compounds were clustered into five clusters using K-means based on a PCA-reduced 2048-bit Morgan circular fingerprint (radius 2), and one of the clusters is selected as a test set with the remaining four used as a training set."

I just wanted to make sure the process is as reproducible as possible.

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Research direction

The issue names no files, tests, or entry points, so first locate the existing training-dataset preparation code and determine how public datasets and fingerprints are represented. Done means providing a reproducible process that creates radius-2, 2048-bit Morgan fingerprints, reduces them with PCA, forms five K-means clusters, and records the selected test cluster and remaining training clusters.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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