Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: lncDML: Identification of long non-coding RNAs by Deep Metric Learning
Long Noncoding RNA Identification: Comparing Machine Learning Based Tools for Long Noncoding Transcripts Discrimination
ncFANs: a web server for functional annotation of long non-coding RNAs
The functions and unique features of long intergenic non-coding RNA
MLSeq package : Machine Learning Interface to RNA-Seq Data
Gene expression inference with deep learning
PlantRNA_Sniffer: A SVM-Based Workflow to Predict Long Intergenic Non-Coding RNAs in Plants
Comprehensive prediction of lncRNA–RNA interactions in human transcriptome
Identifying viruses from metagenomic data by deep learning
Predicting effects of noncoding variants with deep learning–based sequence model
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
miRBase: annotating high confidence microRNAs using deep sequencing data
Online Deep Metric Learning
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
A primer on deep learning in genomics
Long Noncoding RNAs From Clinical Genetics to Therapeutic Targets ?
Review of Machine Learning Algorithms in Differential Expression Analysis
LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression
miRBase: integrating microRNA annotation and deep-sequencing data
Lnc2Cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers
Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review
Scalable and modularized RTL compilation of Convolutional Neural Networks onto FPGA
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
Face Description with Local Binary Patterns: Application to Face Recognition
Active modular elastomer sleeve for soft wearable assistance robots
abnormality detection in lumbar discs from clinical mr imag es with a probabilistic model .