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A deep learning framework for modeling structural features of RNA-binding protein targets
learning framework modeling structural features RNA-binding protein targets
2016/1/22
RNA-binding proteins (RBPs) play important roles in the post-transcriptional control of RNAs. Identify-ing RBP binding sites and characterizing RBP bind-ing preferences are key steps toward understand...
Integrative Data Analysis of Multi-platform Cancer Data with a Multimodal Deep Learning Approach
Multi-platform cancer data analysis restricted Boltzmann machine multimodal deep belief network
2016/1/22
Identification of cancer subtypes plays an important role in revealing useful insights into disease pathogenesis and advancing personalized therapy. The recent development of high-throughput sequencin...