Can machine-learning improve cardiovascular risk prediction using routine clinical data? von Weng, Stephen F, Reps, Jenna, Kai, Joe, Garibaldi, Jonathan M, Qureshi, Nadeem

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Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways von Chen, Lei, Zhang, Yu-Hang, Wang, ShaoPeng, Zhang, YunHua, Huang, Tao, Cai, Yu-Dong

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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database von Choi, Joon Yul, Yoo, Tae Keun, Seo, Jeong Gi, Kwak, Jiyong, Um, Terry Taewoong, Rim, Tyler Hyungtaek

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Development of machine learning models for diagnosis of glaucoma von Kim, Seong Jae, Cho, Kyong Jin, Oh, Sejong

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Deep learning approach to bacterial colony classification von Zieliński, Bartosz, Plichta, Anna, Misztal, Krzysztof, Spurek, Przemysław, Brzychczy-Włoch, Monika, Ochońska, Dorota

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SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity von Li, Ying Hong, Xu, Jing Yu, Tao, Lin, Li, Xiao Feng, Li, Shuang, Zeng, Xian, Chen, Shang Ying, Zhang, Peng, Qin, Chu, Zhang, Cheng, Chen, Zhe, Zhu, Feng, Chen, Yu Zong

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Open source machine-learning algorithms for the prediction of optimal cancer drug therapies von Huang, Cai, Mezencev, Roman, McDonald, John F, Vannberg, Fredrik

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Prediction of N-linked glycosylation sites using position relative features and statistical moments von Akmal, Muhammad Aizaz, Rasool, Nouman, Khan, Yaser Daanial

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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree von Zhou, Chang, Yu, Hua, Ding, Yijie, Guo, Fei, Gong, Xiu-Jun

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Gastric precancerous diseases classification using CNN with a concise model von Zhang, Xu, Hu, Weiling, Chen, Fei, Liu, Jiquan, Yang, Yuanhang, Wang, Liangjing, Duan, Huilong, Si, Jianmin

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On the prediction of DNA-binding proteins only from primary sequences: A deep learning approach von Qu, Yu-Hui, Yu, Hua, Gong, Xiu-Jun, Xu, Jia-Hui, Lee, Hong-Shun

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PRmePRed: A protein arginine methylation prediction tool von Kumar, Pawan, Joy, Joseph, Pandey, Ashutosh, Gupta, Dinesh

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Accurate Prediction of Transposon-Derived piRNAs by Integrating Various Sequential and Physicochemical Features von Luo, Longqiang, Li, Dingfang, Zhang, Wen, Tu, Shikui, Zhu, Xiaopeng, Tian, Gang

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Application of unsupervised analysis techniques to lung cancer patient data von Lynch, Chip M, van Berkel, Victor H, Frieboes, Hermann B

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Selection and classification of gene expression in autism disorder: Use of a combination of statistical filters and a GBPSO-SVM algorithm von Hameed, Shilan S, Hassan, Rohayanti, Muhammad, Fahmi F

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BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches von Liu, Bin

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BioVis Explorer: A visual guide for biological data visualization techniques von Kerren, Andreas, Kucher, Kostiantyn, Li, Yuan-Fang, Schreiber, Falk

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Ensemble learning method for the prediction of new bioactive molecules von Afolabi, Lateefat Temitope, Saeed, Faisal, Hashim, Haslinda, Petinrin, Olutomilayo Olayemi

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DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues von Ma, Xin, Guo, Jing, Sun, Xiao

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Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project von Alghamdi, Manal, Al-Mallah, Mouaz, Keteyian, Steven, Brawner, Clinton, Ehrman, Jonathan, Sakr, Sherif

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