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Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks

, , , , , , and . bioRxiv, (2018)Code is available: https://github.com/greenelab/deep-review/issues/906.

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Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks, , , , , , and . bioRxiv, (2018)Code is available: https://github.com/greenelab/deep-review/issues/906.Automatic Detection of Uncertain Statements in the Financial Domain., , , and . CICLing (2), volume 10762 of Lecture Notes in Computer Science, page 642-654. Springer, (2017)PRoFET: Predicting the Risk of Firms from Event Transcripts., , and . IJCAI, page 5211-5217. ijcai.org, (2019)Word Embeddings-Based Uncertainty Detection in Financial Disclosures., , and . ECONLP@ACL, page 32-37. Association for Computational Linguistics, (2018)