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Source code, raw and processed datasets, trained model files from BindVAE trained on GM12878 ATAC-seq and A549 ATAC-seq data for this paper which will be soon published in Genome Biology. The source code is also maintained here on GitHub: microsoft/BindVAE: Variational Auto Encoders for learning binding signatures of transcription factors (github.com) Please contact the corresponding authors for any further data / model info you need. Dirichlet variational autoencoders for de novo motif discovery from accessible chromatin | bioRxiv
variational auto encoder, BindVAE, ATAC-seq, machine learning model
variational auto encoder, BindVAE, ATAC-seq, machine learning model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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