Deep‐learning power and perspectives for genomic selection

A review of deep learning applications for genomic selection

(2021) Osval Antonio Montesinos-López et al.   BMC GENOMICS

A Survey on the Explainability of Supervised Machine Learning

(2021) Nadia Burkart et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Visualizing population structure with variational autoencoders

(2021) C J Battey et al.   G3-Genes Genomes Genetics

Predicting transcriptional responses to cold stress across plant species

(2021) Xiaoxi Meng et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Creating artificial human genomes using generative neural networks

(2021) Burak Yelmen et al.   PLoS Genetics

Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks

(2020) Mohamed Marouf et al.   Nature Communications

DeepHiC: A generative adversarial network for enhancing Hi-C data resolution

(2020) Hao Hong et al.   PLoS Computational Biology

scVAE: Variational auto-encoders for single-cell gene expression data

(2020) Christopher Heje Grønbech et al.   BIOINFORMATICS

Deep learning for plant genomics and crop improvement

(2020) Hai Wang et al.   CURRENT OPINION IN PLANT BIOLOGY

Synthetic promoter design in Escherichia coli based on a deep generative network

(2020) Ye Wang et al.   NUCLEIC ACIDS RESEARCH

Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data

(2020) Guillermo López-García et al.   PLoS One

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Deep learning: new computational modelling techniques for genomics

(2019) Gökcen Eraslan et al.   NATURE REVIEWS GENETICS

hicGAN infers super resolution Hi-C data with generative adversarial networks

(2019) Qiao Liu et al.   BIOINFORMATICS

Prediction of enhancer-promoter interactions via natural language processing

(2018) Wanwen Zeng et al.   BMC GENOMICS

Deep learning to predict the lab-of-origin of engineered DNA

(2018) Alec A. K. Nielsen et al.   Nature Communications

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

Enhancer–promoter interactions are encoded by complex genomic signatures on looping chromatin

(2016) Sean Whalen et al.   NATURE GENETICS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Priors in Whole-Genome Regression: The Bayesian Alphabet Returns

(2013) D. Gianola   GENETICS

Back to Basics for Bayesian Model Building in Genomic Selection

(2012) Hanni P. Kärkkäinen et al.   GENETICS