SequenceAttentionClassifier

a repository for read-based Cancer mutation profiles discovery with attention mechanisms

Author: Baihan Lin, Columbia University

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
Attention-Classification		Attention-Classification
data		data
figures		figures
models/modules		models/modules
utils		utils
Attention_Cancer.ipynb		Attention_Cancer.ipynb
Attention_Modeling.ipynb		Attention_Modeling.ipynb
BRAF_AttentionLR_Baihan.py		BRAF_AttentionLR_Baihan.py
BRAF_read_coverage.png		BRAF_read_coverage.png
BRCA_WGS.txt		BRCA_WGS.txt
NRAS-SequenceAttentionClassifier.ipynb		NRAS-SequenceAttentionClassifier.ipynb
README.md		README.md
adversarial_abblstm.py		adversarial_abblstm.py
all_attention.py		all_attention.py
all_attention_BRAF.py		all_attention_BRAF.py
attention.py		attention.py
attn_bi_lstm.py		attn_bi_lstm.py
attn_lstm_hierarchical.py		attn_lstm_hierarchical.py
case_s3_bam_loc.normal.ref.txt		case_s3_bam_loc.normal.ref.txt
case_s3_bam_loc.tumor.ref.txt		case_s3_bam_loc.tumor.ref.txt
dummy - SequenceAttentionClassifier-query1.ipynb		dummy - SequenceAttentionClassifier-query1.ipynb
extractBRAF.sh		extractBRAF.sh
ind_rnn_tc.py		ind_rnn_tc.py
main.m		main.m
s3_normal.txt		s3_normal.txt
s3_normal_val.txt		s3_normal_val.txt
s3_tumor.txt		s3_tumor.txt
s3_tumor_val.txt		s3_tumor_val.txt
test configuration - SequenceAttentionClassifier - Baihan.py		test configuration - SequenceAttentionClassifier - Baihan.py

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