From 4375d679a3a6cc4740e0d18c8f13a45e7d842c65 Mon Sep 17 00:00:00 2001 From: niklases Date: Sun, 29 Sep 2024 09:20:06 +0200 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2fc3bcb..16e1eab 100644 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ https://doi.org/10.1021/acs.jcim.4c00704 - [Model Hyperparameter Grids for Training](#model-hyperparameter-grids-for-training) - [Setting Up the Scripts Yourself](#setting-up-the-scripts-yourself) - [Preprocessing for DCA-based Sequence Encoding](#preprocessing-for-dca-based-sequence-encoding) - - [Unsupervised/zero-shot prediction](#unsupervisedzero-shot-prediction) + - [Unsupervised/zero-shot prediction vs. supervised few-shot prediction](#unsupervisedzero-shot-prediction-vs-supervised-few-shot-prediction) - [API Usage for Sequence Encoding](#api-usage-for-sequence-encoding) --- @@ -431,7 +431,7 @@ python3 ./pypef/main.py ``` -## Unsupervised/zero-shot prediction +## Unsupervised/zero-shot prediction vs. supervised few-shot prediction Several developed methods allow unsupervised prediction of a proteins fitness based on its sequence (and/or structure). These methods have the advantage that no initial knowledge about a proteins fitness is required for prediction, while a correlation of the predicted score and a protein's natural fitness is assumed.