Fill-Mask
Transformers
Safetensors
esm
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Update README.md

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@@ -17,10 +17,10 @@ model_name = "ChatterjeeLab/FusOn-pLM"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModel.from_pretrained(model_name)
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- # Example fusion oncoprotein sequence: ETV6::CDK2AP1
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- # Amino acids 1-52 are derived from the head gene, ETV6
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- # Amino acids 53-73 are derived from the tail gene, CDK2AP1
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- sequence = "MSETPAQCSIKQERISYTPPESPVPSYASSTPLHVPVPRALRMEEDSIRLPAHLRIIHARGLVRECLAETERNARS"
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  # Tokenize the input sequence
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  inputs = tokenizer(sequence, return_tensors="pt")
 
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModel.from_pretrained(model_name)
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+ # Example fusion oncoprotein sequence: MLLT10:PICALM, associated with Acute Myeloid Leukemia (LAML)
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+ # Amino acids 1-80 are derived from the head gene, MLLT10
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+ # Amino acids 81-119 are derived from the tail gene, PICALM
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+ sequence = "MVSSDRPVSLEDEVSHSMKEMIGGCCVCSDERGWAENPLVYCDGHGCSVAVHQACYGIVQVPTGPWFCRKCESQERAARVPPQMGSVPVMTQPTLIYSQPVMRPPNPFGPVSGAQIQFM"
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  # Tokenize the input sequence
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  inputs = tokenizer(sequence, return_tensors="pt")