相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Adversarial generation of gene expression data
Ramon Vinas et al.
BIOINFORMATICS (2022)
Creating artificial human genomes using generative neural networks
Burak Yelmen et al.
PLOS GENETICS (2021)
Simultaneous deep generative modelling and clustering of single-cell genomic data
Qiao Liu et al.
NATURE MACHINE INTELLIGENCE (2021)
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks
Mohamed Marouf et al.
NATURE COMMUNICATIONS (2020)
scVAE: variational auto-encoders for single-cell gene expression data
Christopher Heje Gronbech et al.
BIOINFORMATICS (2020)
Generation and evaluation of privacy preserving synthetic health data
Andrew Yale et al.
NEUROCOMPUTING (2020)
Improved survival analysis by learning shared genomic information from pan-cancer data
Sunkyu Kim et al.
BIOINFORMATICS (2020)
A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease
Jinhee Park et al.
PLOS COMPUTATIONAL BIOLOGY (2020)
RNA sequencing: new technologies and applications in cancer research
Mingye Hong et al.
JOURNAL OF HEMATOLOGY & ONCOLOGY (2020)
Deep learning models in genomics; are we there yet?
Lefteris Koumakis
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
Single-cell RNA-seq denoising using a deep count autoencoder
Goekcen Eraslan et al.
NATURE COMMUNICATIONS (2019)
A survey on Image Data Augmentation for Deep Learning
Connor Shorten et al.
JOURNAL OF BIG DATA (2019)
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
Jared L. Katzman et al.
BMC MEDICAL RESEARCH METHODOLOGY (2018)
Deep generative modeling for single-cell transcriptomics
Romain Lopez et al.
NATURE METHODS (2018)
VASC: Dimension Reduction and Visualization of Single-cell RNA-seq Data by Deep Variational Autoencoder
Dongfang Wang et al.
GENOMICS PROTEOMICS & BIOINFORMATICS (2018)
The path from big data to precision medicine
Bevan E. Huang et al.
EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT (2016)
Machine learning applications in genetics and genomics
Maxwell W. Libbrecht et al.
NATURE REVIEWS GENETICS (2015)
Machine learning applications in cancer prognosis and prediction
Konstantina Kourou et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2015)
The Cancer Genome Atlas Pan-Cancer analysis project
John N. Weinstein et al.
NATURE GENETICS (2013)
The Unreasonable Effectiveness of Data
Alon Halevy et al.
IEEE INTELLIGENT SYSTEMS (2009)
分享论文
