Enhancing scientific discoveries in molecular biology with deep generative models-Reference-Cited by-同舟云学术

Enhancing scientific discoveries in molecular biology with deep generative models

Published:2020-09 Issue:9 Volume:16 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Lopez Romain¹^ORCID,Gayoso Adam²^ORCID,Yosef Nir¹²³⁴^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA

2. Center for Computational Biology University of California Berkeley CA USA

3. Chan‐Zuckerberg Biohub San Francisco CA USA

4. Ragon Institute of MGH, MIT, and Harvard Cambridge MA USA

Funder

National Institute of Allergy and Infectious Diseases

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20199198

Reference160 articles.

1. TensorFlow: large‐scale machine learning on heterogeneous distributed systems;Abadi M;arXiv,2016

2. Exploring patterns enriched in a dataset with contrastive principal component analysis;Abid A;Nat Commun,2018

3. Contrastive variational autoencoder enhances salient features;Abid A;arXiv,2019

4. AminiA SchwartingW RosmanG ArakiB KaramanS RusD(2018)Variational autoencoder for end‐to-end control of autonomous driving with novelty detection and training de‐biasing. InIEEE/RSJ Int Conf Intelligent Robots and Systems pp568–575

5. AmodioM KrishnaswamyS(2018)MAGAN: Aligning biological manifolds. InProc Int Conf Mach Learn pp215–223

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS;Nature Biotechnology;2024-01-23

2. A Supervised Contrastive Framework for Learning Disentangled Representations of Cell Perturbation Data;2024-01-08

3. Functional and spatial proteomics profiling reveals intra- and intercellular signaling crosstalk in colorectal cancer;iScience;2023-12

4. Advances in generative modeling methods and datasets to design novel enzymes for renewable chemicals and fuels;Current Opinion in Biotechnology;2023-12

5. Navigating the manifold of single-cell gene coexpression to discover interpretable gene programs;2023-11-11