docs: update readme

README.md

@@ -19,7 +19,7 @@ library_name: pytorch
 Pre-trained **Feature Tokenizer Transformer (FT-Transformer)** models for classifying whole-genome sequencing reads as IGH (immunoglobulin heavy chain) or non-IGH. The models are trained on a combination of real CLL (chronic lymphocytic leukemia) patient data and synthetic V(D)J recombination sequences.
 
 - **GitHub repository:** [acri-nb/igh_classification](https://github.com/acri-nb/igh_classification)
-- **Paper:** Gayap H. *et al.* *Machine learning-based classification of IGHV mutation status in CLL from whole-genome sequencing data.* (submitted)
+- **Paper:** Darmendre J. *et al.* *Machine learning-based classification of IGHV mutation status in CLL from whole-genome sequencing data.* (submitted)
 
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