Deep learning in pharmacogenomics: from gene regulation to patient stratification

Deep learning

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A global reference for human genetic variation

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An integrated encyclopedia of DNA elements in the human genome

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A survey on deep learning in medical image analysis

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Integrative analysis of 111 reference human epigenomes

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The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets

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Predicting the future - big data, machine learning, and clinical medicine

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MoleculeNet: a benchmark for molecular machine learning

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Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

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Learning Important Features Through Propagating Activation Differences

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Predicting effects of noncoding variants with deep learning–based sequence model

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Opportunities and obstacles for deep learning in biology and medicine

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A universal SNP and small-indel variant caller using deep neural networks

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The Unreasonable Effectiveness of Data

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Deep patient: An unsupervised representation to predict the future of patients from the electronic health records

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Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

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Deep learning for computational biology

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Deep learning-based multi-omics integration robustly predicts survival in liver cancer

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DeepTox: toxicity prediction using deep learning

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Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

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The 3D Genome as Moderator of Chromosomal Communication

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Patterns of treatment response in newly diagnosed epilepsy

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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

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Deep learning for computational chemistry

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Low Data Drug Discovery with One-Shot Learning

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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

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Model selection and overfitting

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Deep Learning in Drug Discovery

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Applications of Deep Learning in Biomedicine

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DeepSynergy: predicting anti-cancer drug synergy with Deep Learning

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Cardiologist-Level Arrhythmia Detection with Convolutional Neural NetworksPreprint

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Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

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druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

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Deep-Learning-Based Drug–Target Interaction Prediction

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Untitled work

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Big Data Analytics in Healthcare

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Sequential regulatory activity prediction across chromosomes with convolutional neural networks

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DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

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Improving palliative care with deep learning

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Classification evaluation

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Application of Generative Autoencoder in <i>De Novo</i> Molecular Design

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Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning

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Deep Learning for Drug-Induced Liver Injury

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The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology

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Opportunities and obstacles for deep learning in biology and medicinePreprint

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DeepChrome: deep-learning for predicting gene expression from histone modifications

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Models of human core transcriptional regulatory circuitriesPreprint

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Patient-centric trials for therapeutic development in precision oncology

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High-resolution interrogation of functional elements in the noncoding genome

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Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

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Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks

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ToxAlerts: A Web Server of Structural Alerts for Toxic Chemicals and Compounds with Potential Adverse Reactions

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Is Multitask Deep Learning Practical for Pharma?

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Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

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Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction

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Extracting research-quality phenotypes from electronic health records to support precision medicine

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A renaissance of neural networks in drug discovery

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Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach

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FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data

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RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach

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Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approach

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Semi-supervised learning of the electronic health record for phenotype stratification

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Deep learning for regulatory genomics

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Does Pharmacogenomic Testing Improve Clinical Outcomes for Major Depressive Disorder?: A Systematic Review of Clinical Trials and Cost-Effectiveness Studies

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DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKS

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Chromatin accessibility prediction via convolutional long short-term memory networks withk-mer embedding

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Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisPreprint

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Pharmacogenomics in clinical practice and drug development

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PEDLA: predicting enhancers with a deep learning-based algorithmic framework

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Clinical Success of Drug Targets Prospectively Predicted by In Silico Study

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Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials

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Creating a universal SNP and small indel variant caller with deep neural networksPreprint

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Identifying Predictive Features in Drug Response Using Machine Learning: Opportunities and Challenges

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Mining the Unknown: Assigning Function to Noncoding Single Nucleotide Polymorphisms

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Pediatric Bone Age Assessment Using Deep Convolutional Neural NetworksPreprint

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Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds

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Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecturePreprint

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Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep LearningPreprint

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EP-DNN: A Deep Neural Network-Based Global Enhancer Prediction Algorithm

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Statistical analysis of big data on pharmacogenomics

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Predicting Enhancer-Promoter Interaction from Genomic Sequence with Deep Neural NetworksPreprint

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Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database

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A Glutamatergic Network Mediates Lithium Response in Bipolar Disorder as Defined by Epigenome Pathway Analysis

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Modeling Industrial ADMET Data with Multitask NetworksPreprint

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A Deep Learning Approach to Detect SNP Interactions

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CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features

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DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome SequencingPreprint

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Network Reconstruction Reveals that Valproic Acid Activates Neurogenic Transcriptional Programs in Adult Brain Following Traumatic Injury

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Deep learning algorithm reveals two prognostic subtypes in patients with gliomas

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Artificial intelligence: Revolutionizing pediatric emergency care - A narrative review

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The role of machine learning to predict treatment response and target drug therapies

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