Review

deep learning autoencoders (Omics Data Automation)

About

News

Press Release

Team

Advisors

Partners

Contact

Bioz Stars

Bioz vStars

Buy from Supplier

Structured Review

Omics Data Automation deep learning autoencoders
Deep Learning Autoencoders, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+learning/learning+machine/pm41945244-268-29-37
Average 86 stars, based on 1 article reviews

deep learning autoencoders - by Bioz Stars, 2026-10

86/100 stars

Images

other:

Article Title: Designing Microbe-Semiconductor Interfaces for Semibiological Photosynthesis.
Article Snippet: 2023, 24 (10), 695−713. (303) Reel, P. S.; Reel, S.; Pearson, E.; Trucco, E.; Jefferson, E. Using Machine Learning Approaches for Multi-Omics Data Analysis: A review.

Article Title: Ensemble Machine Learning Predicts Platinum Resistance in Ovarian Cancer Using Laboratory Data.
Article Snippet: Dealing with Dimensionality: The Application of Machine Learning to Multi-Omics Data.

Article Title: Simulation of the Metabolic Response to an Interventional Study with New Healthy Beverages by Machine-Learning Regression.
Article Snippet: Proceedings of the National Academy of Sciences USA 2019, 116 (44), 22071−22080. (54) Sidak, D.; Schwarzerová, J.; Weckwerth, W.; Waldherr, S. Interpretable Machine Learning Methods for Predictions in Systems Biology from Omics Data.

Construct:

Article Title: Advancements in artificial intelligence for cancer diagnosis and prognosis prediction: current applications and emerging opportunities
Article Snippet: .. , Hepatocellular carcinoma (HCC) , Machine learning , Multi-omics data , Constructed an AI-derived risk score that served as an independent predictor for overall survival. , . .. Glioma , Machine learning , Genomic data , Constructed an immunogenic cell death-related risk score whose performance surpassed 71 previously published signatures. , .

Comparison:

Article Title: Comprehensive pan-cancer analysis of FSCN1 as a marker for prognosis and immunity.
Article Snippet: .. Hum Pathol 2005, 36 (7), 741–746. https://doi.org/10.1016/j.humpath.2005.05.005. (18) Franco, E. F.; Rana, P.; Cruz, A.; Calderón, V. V.; Azevedo, V.; Ramos, R. T. J.; Ghosh, P. Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data. ..

Biomarker Discovery:

Article Title: Advancements in artificial intelligence for cancer diagnosis and prognosis prediction: current applications and emerging opportunities
Article Snippet: Ovarian cancer , Graph deep learning , Histopathology images: H&E , The OCDPI model predicted response to adjuvant therapy; patients with low scores had better survival and lower recurrence. , . .. Prognostic Biomarker Development , Urothelial carcinoma , Machine learning , Multi-omics data , Identified a consensus machine learning signature of 12 genes that robustly predicted prognosis and immunotherapy response. , . .. , Renal cell carcinoma , Machine learning , Multi-omics data , Constructed a prognosis and treatment vulnerability signature to guide personalized treatment strategies. , .