a few more

README.md

@@ -39,6 +39,10 @@ A curated list of awesome deep learning applications in the field of computation
 
 - **2015-10** | Deep Learning for Drug-Induced Liver Injury | *Youjun Xu, Ziwei Dai, Fangjin Chen, Shuaishi Gao, Jianfeng Pei, and Luhua Lai* | [ASC Journal of Chemical Information and Modeling](https://doi.org/10.1021/acs.jcim.5b00238)
 
+- **2016-01** | Convolutional neural network architectures for predicting DNA–protein binding | * Haoyang Zeng, Matthew D. Edwards, Ge Liu, David K. Gifford* | [Bioinformatics](https://academic.oup.com/bioinformatics/article/32/12/i121/2240609/Convolutional-neural-network-architectures-for) | [code](http://cnn.csail.mit.edu)
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+- **2016-01** | ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions | [mSystems](https://dx.doi.org/10.1128/mSystems.00025-15) | [code](https://github.com/greenelab/adage)
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 - **2015-11** | De novo identification of replication-timing domains in the human genome by deep learning | *Feng Liu, Chao Ren, Hao Li, Pingkun Zhou, Xiaochen Bo and Wenjie Shu* | [Bioinformatics](https://doi.org/10.1093/bioinformatics/btv643)
 
 - **2015-11** | Recurrent Neural Network Based Hybrid Model of Gene Regulatory Network | *Khalid Raza, Mansaf Alam* | [Arxiv](https://arxiv.org/abs/1408.5405v2)
@@ -61,9 +65,9 @@ A curated list of awesome deep learning applications in the field of computation
 
 - **2016-03** | Genome-Wide Prediction of cis-Regulatory Regions Using Supervised Deep Learning Methods | *Yifeng Li, Wenqiang Shi, Wyeth W Wasserman* | [Biorxiv](https://doi.org/10.1101/041616)
 
-- **2016-03** | Deep Learning in Bioinformatics | *Seonwoo Min, Byunghan Lee, Sungroh Yoon* | [Arxiv](http://arxiv.org/abs/1603.06430)
+- **2016-03** | Applications of deep learning in biomedicine | *Polina Mamoshina, Armando Vieira, Evgeny Putin, and Alex Zhavoronkov* | [ACS Molecular Pharmaceutics](https://dx.doi.org/10.1021/acs.molpharmaceut.5b00982)
 
-- **2016-03** | Applications of deep learning in biomedicine | *Polina Mamoshina, Armando Vieira, Evgeny Putin, and Alex Zhavoronkov* | [ACS Molecular Pharmaceutics](https://doi.org/10.1021/acs.molpharmaceut.5b00982)
+- **2016-03** | Deep Learning in Bioinformatics | *Seonwoo Min, Byunghan Lee, Sungroh Yoon* | [Arxiv](http://arxiv.org/abs/1603.06430)
 
 - **2016-03** | DeepNano: Deep Recurrent Neural Networks for Base Calling in MinION Nanopore Reads | *Vladimír Boža, Broňa Brejová, Tomáš Vinař* | [Arxiv](http://arxiv.org/abs/1603.09195) | [code](https://bitbucket.org/vboza/deepnano)
 
@@ -205,6 +209,17 @@ A curated list of awesome deep learning applications in the field of computation
 
 - **2017-01** | Dermatologist-level classification of skin cancer with deep neural networks | *Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau & Sebastian Thrun* | [Nature](https://doi.org/10.1038/nature21056)
 
+- **2016-07** | Deep Learning in Bioinformatics | *Seonwoo Min, Byunghan Lee, Sungroh Yoon* | [Briefings in Bioinformatics](https://academic.oup.com/bib/article-abstract/doi/10.1093/bib/bbw068/2562808/Deep-learning-in-bioinformatics)
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+- **2016-07** | Deep learning for computational biology | *Christof Angermueller, Tanel Pärnamaa, Leopold Parts, Oliver Stegle* | [Molecular systems biology](http://msb.embopress.org/content/12/7/878)
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+- **2016-08** | DeepChrome: deep-learning for predicting gene expression from histone modifications | *Ritambhara Singh, Jack Lanchantin,  Gabriel Robins,  Yanjun Qi* | [Bioinformatics](https://academic.oup.com/bioinformatics/article/32/17/i639/2450757/DeepChrome-deep-learning-for-predicting-gene)
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+- **2017-01** | Understanding sequence conservation with deep learning | *Yi Li, Daniel Quang, Xiaohui Xie* | [Biorxiv](http://biorxiv.org/content/early/2017/01/28/103929)
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+- **2017-01** | Learning the Structural Vocabulary of a Network | *Saket Navlakha* | [Neural Computation](http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00924#.WJ2iQkaQn6A)
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+- **2017-01** | Mining the Unknown: Assigning Function to Noncoding Single Nucleotide Polymorphisms | *Sierra S. Nishizaki, Alan P. Boyle* | [Trends in Genetics](http://www.sciencedirect.com/science/article/pii/S0168952516301470)
 
 ### Contribution