A pan-cancer somatic mutation embedding using autoencoders

Mut2Vec: distributed representation of cancerous mutations

(2018) Sunkyu Kim et al.   BMC Medical Genomics

Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data

(2018) Meng Ma et al.   IEEE Transactions on Industrial Informatics

Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer

(2018) Yang Guo et al.   NEUROCOMPUTING

Cancer-mutation network and the number and specificity of driver mutations

(2018) Jaime Iranzo et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization

(2018) Hung-I Harry Chen et al.   BMC Systems Biology

Exploring background mutational processes to decipher cancer genetic heterogeneity

(2017) Alexander Goncearenco et al.   NUCLEIC ACIDS RESEARCH

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

(2016) Jun Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Signatures of mutational processes in human cancer

(2013) Ludmil B. Alexandrov et al.   NATURE

The Cancer Genome Atlas Pan-Cancer analysis project

(2013) John N Weinstein et al.   NATURE GENETICS

Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification

(2013) Shangping Zhong et al.   PATTERN RECOGNITION

International network of cancer genome projects

(2010) Thomas J. Hudson (Chairperson) et al.   NATURE