Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A universal SNP and small-indel variant caller using deep neural networks
Predicting effects of noncoding variants with deep learning–based sequence model
Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk
A sequence-based variation map of 8.27 million SNPs in inbred mouse strains
Prior Knowledge based mutation prioritization towards causal variant finding in rare disease
SNP Genotyping: Technologies and Biomedical Applications
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction
Combinatorial algorithms for structural variation detection in high-throughput sequenced genomes.
Deep Learning for Genomics: A Concise Overview
Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks
A primer on deep learning in genomics
Scaling probabilistic models of genetic variation to millions of humans
Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review
Segmenting Microarrays with Deep Neural Networks
Whole-genome haplotyping using long reads and statistical methods
Crowdsourcing for Chromosome Segmentation and Deep Classification
Deep Learning for Population Genetic Inference
BreakDancer: an algorithm for high-resolution mapping of genomic structural variation
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
Variant Callers for Next-Generation Sequencing Data: A Comparison Study
Integrating information from speech and physiological signals to achieve emotional sensitivity
Simulation of channel estimation and equalization for WiMAX PHY layer in simulink
A Practical Guide to Training Restricted Boltzmann Machines
Reviewing automatic language identification
Smart Manufacturing Standardization: Reference Model and Standards Framework