Research graph
References from Deep learning models in genomics; are we there yet?. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1002/9780470397428
10.1002/9780470397428 · 2008 · External reference
10.1007/978-3-540-24674-9_27
10.1007/978-3-540-24674-9_27 · External reference
10.1371/journal.pcbi.1005187
10.1371/journal.pcbi.1005187 · External reference
10.1080/23808993.2016.1157686
10.1080/23808993.2016.1157686 · External reference
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
2017 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Learning While Searching In Constraint-Satisfaction-Problems
1986 · External reference
The perceptron: A probabilistic model for information storage and organization in the brain
10.1037/h0042519 · 1958 · External reference
1.1 Deep Learning Hardware: Past, Present, and Future
2019 · External reference
Introduction to artificial neural systems
10.1016/0925-2312(92)90018-k · 1992 · External reference
10.1109/5.726791
10.1109/5.726791 · External reference
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A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
10.1162/neco.1989.1.2.270 · 1989 · External reference
Long Short-Term Memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
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Feedback GAN for DNA optimizes protein functions
10.1038/s42256-019-0017-4 · 2019 · External reference
10.1561/2200000006 · Admitted local publication
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Dynamic Routing Between Capsules
2017 · External reference
Kernel-based Data Fusion for Machine Learning Studies in Computational
2011 · External reference
DanQ: A hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
2016 · External reference
10.1109/cvpr.2016.308
10.1109/cvpr.2016.308 · External reference
10.1109/cvpr.2017.243
10.1109/cvpr.2017.243 · External reference
10.1109/iccv.2017.322
10.1109/iccv.2017.322 · External reference
Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
10.1016/j.conbuildmat.2017.09.110 · 2017 · External reference
Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images
2018 · External reference
An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction
10.1016/j.eswa.2018.10.029 · 2019 · External reference
10.1117/1.2819119
10.1117/1.2819119 · External reference
The Discipline of Machine Learning
2006 · External reference
A few useful things to know about machine learning
10.1145/2347736.2347755 · 2012 · External reference
10.1534/g3.119.300585
10.1534/g3.119.300585 · External reference
10.1109/embc.2014.6944490
10.1109/embc.2014.6944490 · External reference
Radiogenomics Monitoring in Breast Cancer Identifies Metabolism and Immune Checkpoints as Early Actionable Mechanisms of Resistance to Anti-angiogenic Treatment
2016 · External reference
Minepath.org: A free interactive pathway analysis web server
10.1093/nar/gkx278 · 2017 · External reference
The application of deep learning in cancer prognosis prediction
10.3390/cancers12030603 · 2020 · External reference
Precision oncology: Origins, optimism, and potential
10.1016/s1470-2045(15)00620-8 · 2016 · External reference
Systems genetics approaches to understand complex traits
10.1038/nrg3575 · 2014 · External reference
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)
10.3892/ijo.2020.5063 · 2020 · External reference
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. ACM-BCB 2016–7th ACM
10.1145/2975167.2975212 · 2016 · External reference
deepMiRGene: Deep Neural Network based Precursor microRNA
2016 · External reference
Prediction of Mammalian MicroRNA Targets
2003 · External reference
10.1007/978-3-319-59147-6_5
10.1007/978-3-319-59147-6_5 · External reference
10.1101/031906
10.1101/031906 · External reference
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model
2016 · External reference
ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions
2016 · External reference
Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks
2017 · External reference
Gene expression inference with deep learning
10.1093/bioinformatics/btw074 · 2016 · External reference
DeepChrome: Deep-learning for predicting gene expression from histone modifications
2016 · External reference
Attend and predict: Understanding gene regulation by selective attention on chromatin
2017 · External reference
A universal snp and small-indel variant caller using deep neural networks
10.1038/nbt.4235 · 2018 · External reference
Functional interpretation of genetic variants using deep learning predicts impact on chromatin accessibility and histone modification
10.1093/nar/gkz808 · 2019 · External reference
A Deep Learning Framework for Predicting Response to Therapy in Cancer
10.1016/j.celrep.2019.11.017 · 2019 · External reference
Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach
2015 · External reference
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
10.1038/s41598-019-52937-5 · 2019 · External reference
Deep learning for inferring gene relationships from single-cell expression data
10.1073/pnas.1911536116 · 2019 · External reference
DeepCpG: Accurate prediction of single-cell DNA methylation states using deep learning
2017 · External reference
Interpretation of Neural Networks Is Fragile
2019 · External reference
Deep learning in bioinformatics
2017 · External reference
“Why should i trust you?” Explaining the predictions of any classifier
2016 · External reference
Genome-scale transcriptional dynamics and environmental biosensing
2020 · External reference
10.1038/s41746-019-0081-5 · 2019 · Admitted local publication
Feature selection methods for big data bioinformatics: A survey from the search perspective
2016 · External reference
Transfer learning for class imbalance problems with inadequate data
10.1007/s10115-015-0870-3 · 2016 · External reference
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10.1201/b10407
10.1201/b10407 · External reference
A primer on deep learning in genomics
2019 · External reference
Deep learning: new computational modelling techniques for genomics
10.1038/s41576-019-0122-6 · 2019 · External reference
Rise of deep learning for genomic, proteomic, and metabolomic data integration in precision medicine
10.1089/omi.2018.0097 · 2018 · External reference
The Elements of Statistical Learning
2003 · External reference
What do we need to build explainable AI systems for the medical domain?
2017 · External reference
