Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 - genomics
 - segmentation
 ---
-# segment-nt
+# SegmentNT
 
 SegmentNT is a segmentation model leveraging the [Nucleotide Transformer](https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-500m-multi-species) (NT) DNA foundation model to predict the location of several types of genomics 
 elements in a sequence at a single nucleotide resolution. It was trained on 14 different classes of human genomics elements in input sequences up to 30kb. These 
@@ -92,7 +92,7 @@ print(f"Intron probabilities shape: {probabilities_intron.shape}")
 
 ## Training data
 
-The **segment-nt** model was trained on all human chromosomes except for chromosomes 20 and 21, kept as test set, and chromosome 22, used as a validation set.
+The **SegmentNT** model was trained on all human chromosomes except for chromosomes 20 and 21, kept as test set, and chromosome 22, used as a validation set.
 During training, sequences are randomly sampled in the genome with associated annotations. However, we keep the sequences in the validation and test set fixed by 
 using a sliding window of length 30,000 over the chromosomes 20 and 21. The validation set was used to monitor training and for early stopping.