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Update README.md

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@@ -34,10 +34,15 @@ The code and architecture definitions are available on **GitHub:**
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  **Model Weights**
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  **Sequence‑to‑accessibility** and **sequence‑to‑activity** model weights are stored separately in two folders.
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- Each folder contains three tissue‑specific subfolders: **heart**, **limb**, **midbrain (CNS)**, **forebrain**, **hindbrain** and **neural tube**
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  Within each tissue folder there are **six models**, corresponding to **three cross‑validation folds** and **two replicates**.
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  Model weights are stored in **Model.json** (architecture) and **Model.h5** (trained parameters).
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  ---
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  **Training Objectives and Evaluation Metrics**
 
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  **Model Weights**
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  **Sequence‑to‑accessibility** and **sequence‑to‑activity** model weights are stored separately in two folders.
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+ Each folder contains six tissue‑specific subfolders: **heart**, **limb**, **midbrain (CNS)**, **forebrain**, **hindbrain** and **neural tube**
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  Within each tissue folder there are **six models**, corresponding to **three cross‑validation folds** and **two replicates**.
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  Model weights are stored in **Model.json** (architecture) and **Model.h5** (trained parameters).
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+ **K27Ac_K4me1_models**, **promoter_distal_no_CTCF_models** and **tissueSpecATAC** extended VISTA replacement transfer learning model weights are stored separately in three folders.
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+ Each folder contains three tissue‑specific subfolders: **heart**, **limb**, **midbrain**
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+ Within each tissue folder there are **six models**, corresponding to **three cross‑validation folds** and **two replicates**.
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+ Model weights are stored in **Model.json** (architecture) and **Model.h5** (trained parameters).
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+
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  ---
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  **Training Objectives and Evaluation Metrics**