minor formatting improvement to readme

README.md

@@ -32,12 +32,12 @@ Samples cover 86 unique tissues and cell types and are manually mapped to a comm
 This dataset is intended to be used as a baseline resource for multi-label classification in
 the biomedical domain, particuarly for tissue/cell‑type classification, deconvolution, and epigenetic biomarker discovery.
 
-> **Key stats:**
-> **16,959** total DNAm samples from **210** studies in the [Gene Expression Omnibus](https://www.ncbi.nlm.nih.gov/geo/) (GEO)
-> **86** tissue/cell types (55 in training set, 31 in holdout)
-> **297,598** quality controlled CpG sites (M-values) per sample
-> **10,351** samples used for training (>= 2 studies per label)
-> **6,608** samples reserved in holdout set to evalulate generalization/label transfer
+> Key stats:
+> - **16,959** total DNAm samples from **210** studies in the [Gene Expression Omnibus](https://www.ncbi.nlm.nih.gov/geo/) (GEO)
+> - **86** tissue/cell types (55 in training set, 31 in holdout)
+> - **297,598** quality controlled CpG sites (M-values) per sample
+> - **10,351** samples used for training (>= 2 studies per label)
+> - **6,608** samples reserved in holdout set to evalulate generalization/label transfer
 
 ## Data and usage