Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Genome-Wide Prediction of cis-Regulatory Regions Using Supervised Deep Learning Methods
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review
Deep Learning for Better Variant Calling for Cancer Diagnosis and Treatment
RegNetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction
A survey on recurrent neural network based modelling of gene regulatory network
Crowdsourcing for Chromosome Segmentation and Deep Classification
Deep Learning for Natural Language Sequence Labelling Applied to Epigenomics
Segmenting Microarrays with Deep Neural Networks
Class prediction and discovery using gene expression data
Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning
A comparison of classification methods for gene prediction in metagenomics
Machine learning applications in genetics and genomics
Deep learning in bioinformatics
Gene Identification: Classical and Computational Intelligence Approaches
Extracting a Biologically Relevant Latent Space from Cancer Transcriptomes with Variational Autoencoders
Molecular activity prediction using deep learning software library
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
predicting job choice comparing the efficacy of policy - capturing weights and direct estimates for .
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context
Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer
Advanced Cooling for Power Electronics