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ma cheng wang
(266 results)?
Towards a better understanding of TF-DNA binding prediction from genomic features.
Comput Biol Med. 2022 Oct;149:105993. doi: 10.1016/j.compbiomed.2022.105993. Epub 2022 Aug 17.
Comput Biol Med. 2022.
PMID: 36057196
Review.
Uncovering the Relationship between Tissue-Specific TF-DNA Binding and Chromatin Features through a Transformer-Based Model.
Zhang Y, Liu Y, Wang Z, Wang M, Xiong S, Huang G, Gong M.
Zhang Y, et al. Among authors: wang m.
Genes (Basel). 2022 Oct 26;13(11):1952. doi: 10.3390/genes13111952.
Genes (Basel). 2022.
PMID: 36360189
Free PMC article.
Item in Clipboard
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
Zhang Y, Wang Z, Zeng Y, Liu Y, Xiong S, Wang M, Zhou J, Zou Q.
Zhang Y, et al. Among authors: wang m.
Brief Bioinform. 2022 Jan 17;23(1):bbab525. doi: 10.1093/bib/bbab525.
Brief Bioinform. 2022.
PMID: 34929739
Item in Clipboard
MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning.
Zhang Y, Wang M, Wang Z, Liu Y, Xiong S, Zou Q.
Zhang Y, et al. Among authors: wang m.
Int J Mol Sci. 2023 Jan 30;24(3):2595. doi: 10.3390/ijms24032595.
Int J Mol Sci. 2023.
PMID: 36768917
Free PMC article.
Item in Clipboard
Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism.
Gong M, He Y, Wang M, Zhang Y, Ding C.
Gong M, et al. Among authors: wang m.
Comput Biol Chem. 2023 Oct;106:107923. doi: 10.1016/j.compbiolchem.2023.107923. Epub 2023 Aug 7.
Comput Biol Chem. 2023.
PMID: 37598467
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