August 11, 2017 preprint Open access Extracting a Biologically Relevant Latent Space from Cancer Transcriptomes with Variational Autoencoders bioRxiv (Cold Spring Harbor Laboratory) DOI: 10.1101/174474 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 96 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Benchmarking variational AutoEncoders on cancer transcriptomics data 2023 PLoS ONE article Biochemistry, Genetics and Molecular Biology Gene expression and cancer classification Open access 18 citations 1 result References 0