Predicting G-quadruplexes from DNA sequences using multi-kernel convolutional neural networks

Keyphrases

• DNA Sequencing 100%
• Convolutional Neural Network 100%
• G-quadruplex 100%
• Multiple Kernels 100%
• G-quadruplex Formation 80%
• Whole Genome 40%
• Polymerase Stop Assay 40%
• Publicly Available 20%
• Computational Methods 20%
• Gene Regulation 20%
• High-throughput 20%
• RNA Sequencing (RNA-seq) 20%
• Disease Progression 20%
• Cancer Progression 20%
• Genetic Disease 20%
• Genomic Instability 20%
• DNA Template 20%
• GitHub 20%
• Experimental Protocol 20%
• Human Genome 20%
• Sequence-based 20%
• Feature Combination 20%
• Nucleotide Composition 20%
• Benchmark Dataset 20%
• Chromatin Architecture 20%
• Illumina Next-generation Sequencing 20%
• G-tract 20%
• Nucleic Acid Secondary Structure 20%
• Tract Length 20%
• Guanine-rich DNA 20%
• Polymerase Stalling 20%

Biochemistry, Genetics and Molecular Biology

• DNA Sequence 100%
• Polymerase 75%
• RNA Sequence 25%
• Gene Control 25%
• Experimentation 25%
• Genome Instability 25%
• Guanine 25%
• Next Generation Sequencing 25%
• Genetic Disorder 25%
• DNA Template 25%
• Human Genome 25%
• Nucleic Acid Secondary Structure 25%