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Found 44,522 results

Filters: Omics data

OmicsTIDE: Interactive Exploration of Trends in Multi-Omics Data
Harbig, T. A.; Fratte, J.; Krone, M.; Nieselt, K. K.
biorxiv. 2021-02-02. Preprint
Source:biorxiv
PPRID: 10.1101/2021.02.01.428836v1 doi:NA
Omics technologies, data and bioinformatics principles.
Maria V Schneider, Sandra Orchard
Methods Mol Biol. 2011.719:3-30 Print
Source:PubMed
PMID: 21370077 doi:10.1007/978-1-61779-027-0_1
A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification
Chung, R.-H.; Kang, C.-Y.
biorxiv. 2018-09-26. Preprint
Source:biorxiv
PPRID: 10.1101/426510v1 doi:10.1093/gigascience/giz045
Muon: multimodal omics analysis framework
Bredikhin, D.; Kats, I.; Stegle, O.
biorxiv. 2021-06-01. Preprint
Source:biorxiv
PPRID: 10.1101/2021.06.01.445670v1 doi:NA
MORONET: Multi-omics Integration via Graph Convolutional Networks for Biomedical Data Classification
Wang, T.; Shao, W.; Huang, Z.; Tang, H.; Ding, Z.; Huang, K.
biorxiv. 2020-07-03. Preprint
Source:biorxiv
PPRID: 10.1101/2020.07.02.184705v1 doi:NA
GLUER: integrative analysis of single-cell omics and imaging data by deep neural network
Peng, T.; Chen, G.; Tan, K.
biorxiv. 2021-01-26. Preprint
Source:biorxiv
PPRID: 10.1101/2021.01.25.427845v1 doi:NA
Data and knowledge management in cross-Omics research projects.
Martin Wiesinger, Martin Haiduk, Marco Behr, Henrique Lopes de Abreu Madeira, Gernot Glöckler, Paul Perco, Arno Lukas
Methods Mol Biol. 2011.719:97-111 Print
Source:PubMed
PMID: 21370080 doi:10.1007/978-1-61779-027-0_4
Multi-Omics Integration For Disease Prediction Via Multi-Level Graph Attention Network And Adaptive Fusion
Luo, H.; Liang, H.; Jia, M.; Li, Y.; Yao, X.; Cong, S.
biorxiv. 2023-03-23. Preprint
Source:biorxiv
PPRID: 10.1101/2023.03.19.533326v1 doi:NA
GraphOmics: an Interactive Platform to Explore and Integrate Multi-Omics Data
Wandy, J.; Daly, R.
biorxiv. 2021-06-25. Preprint
Source:biorxiv
PPRID: 10.1101/2021.06.24.449741v1 doi:NA
Trans-Driver: a deep learning approach for cancer driver gene discovery with multi-omics data
Yang, H.; Zhang, L.; Zhou, D.; Li, D.; Zhang, J.; Wang, Z.
biorxiv. 2022-06-09. Preprint
Source:biorxiv
PPRID: 10.1101/2022.06.07.495072v1 doi:NA
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