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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of awesome deep learning applications in the field of computational biology
| Date | Stars |
|---|---|
| 2026-07-31 | 1986 |
| 2026-08-01 | 1986 |
| 2026-08-06 | 1988 |
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# Awesome DeepBio [](https://github.com/gokceneraslan/awesome-deepbio) A curated list of awesome deep learning applications in the field of computational biology - **2007-08** | Fast model-based protein homology detection without alignment | *Sepp Hochreiter, Martin Heusel, and Klaus Obermayer* | [Bioinformatics](https://doi.org/10.1093/bioinformatics/btm247) - **2012-07** | Deep architectures for protein contact map prediction | *Pietro Di Lena, Ken Nagata and Pierre Baldi* [Bioinformatics](https://doi.org/10.1093/bioinformatics/bts475) - **2012-10** | Predicting protein residue–residue contacts using deep networks and boosting | *Jesse Eickholt and Jianlin Cheng* | [Bioinformatics](https://doi.org/10.1093/bioinformatics/bts598) - **2013-03** | DNdisorder: predicting protein disorder using boosting and deep networks | *Jesse Eickholt and Jianlin Cheng* | [BMC Bioinformatics](https://doi.org/10.1186/1471-2105-14-88) - **2014-06** | Deep learning of the tissue-regulated splicing code | *Michael K. K. Leung, Hui Yuan Xiong, Leo J. Lee and Brendan J. Frey* | [Bioinformatics](https://doi.org/10.1093/bioinformatics/btu277) - **2014-10** | DANN: a deep learning approach for annotating the pathogenicity of genetic variants | *Daniel Quang, Yifei Chen and Xiaohui Xie* | [Bioinformatics](https://doi.org/10.1093/bioinformatics/btu703) - **2014-11** | Pairwise input neural network for target-ligand interaction prediction | *Caihua Wang, Juan Liu, Fei Luo, Yafang Tan, Zixin Deng, Qian-Nan Hu* | [2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)](https://doi.org/10.1109/BIBM.2014.6999129) - **2014-12** | Deep learning as an opportunity in virtual screening | *Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Marvin Steijaert, Jörg K. Wegner, Hugo Ceulemans, & Sepp Hochreiter* | [In Proceedings of the Deep Learning Workshop at NIPS](http://www.datascienceassn.org/sites/default/files/Deep%20Learning%20as%20an%20Opportunity%20in%20Virtual%20Screening.pdf). - **2015-01** | Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. | *Jie Tan, Matt Ung, Chao Cheng, Casey Greene* | [Pacific Symposium on Biocomputing (PSB)](https://doi.org/10.1142/9789814644730_0014) | [Models & Data](http://discovery.dartmouth.edu/~cgreene/da-psb2015/) - **2015-01** | The human splicing code reveals new insights into the genetic determinants of disease | *Hui Y. Xiong, Babak Alipanahi, Leo J. Lee, Hannes Bretschneider, Daniele Merico, Ryan K. C. Yuen, Yimin Hua, Serge Gueroussov, Hamed S. Najafabadi, Timothy R. Hughes, Quaid Morris, Yoseph Barash, Adrian R. Krainer, Nebojsa Jojic, Stephen W. Scherer, Benjamin J. Blencowe, Brendan J. Frey* | [Science](https://doi.org/10.1126/science.1254806) - **2015-03** | Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters | *Yifeng Li, Chih-Yu Chen, and Wyeth W. Wasserman* | [19th Annual International Conference, RECOMB 2015, Warsaw, Proceedings](https://doi.org/10.1007/978-3-319-16706-0_20) - **2015-05** | Trans-species learning of cellular signaling systems with bimodal deep belief networks | *Lujia Chen, Chunhui Cai, Vicky Chen and Xinghua Lu* | [Bioinformatics](https://doi.org/10.1093/bioinformatics/btv315) - **2015-05** | Deep convolutional neural networks for annotating gene expression patterns in the mouse brain | *Tao Zeng, Rongjian Li, Ravi Mukkamala, Jieping Ye and Shuiwang Ji* | [BMC Bioinformatics](https://doi.org/10.1186/s12859-015-0553-9) - **2015-07** | DeepBind: Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning | *Babak Alipanahi, Andrew Delong, Matthew T. Weirauch & Brendan J. Frey* | [Nature Biotechnology](https://doi.org/10.1038/nbt.3300) - **2015-08** | Deep learning for regulatory genomics | *Yongjin Park & Manoli
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Gökçen Eraslan · Genentech · United States
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Zafarali Ahmed · Canada
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Daniel Himmelstein · @radoverlay
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b297f64a3c11f1ba, desc:curated list