Research graph
References from Multimodal analysis methods in predictive biomedicine. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1093/hmg/ddab219 · External reference
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ICGC/TCGA pan-cancer analysis of whole genomes consortium. Pan-cancer analysis of whole genomes
10.1038/s41586-020-1969-6 · 2020 · External reference
The statistical practice of the GTEx project: from single to multiple tissues
2020 · External reference
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10.1093/nar/gky1120
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10.1007/978-981-16-5812-9_4
10.1007/978-981-16-5812-9_4 · 2021 · External reference
An open radiologic deep learning research dataset for effective transfer learning
2022 · External reference
Unresolved reference
2013 · External reference
Unresolved reference
2021 · External reference
10.1093/nar/gkaa1074
10.1093/nar/gkaa1074 · External reference
Analysis and retrieval of regulatory elements linked to genes
10.1093/nar/gkaa382 · 2021 · External reference
Multi-omics approaches to disease
2017 · External reference
10.15252/msb.20178124
10.15252/msb.20178124 · External reference
Group factor analysis
10.1109/tnnls.2014.2376974 · 2014 · External reference
The proteogenomic subtypes of acute myeloid leukemia
10.1016/j.ccell.2022.02.006 · 2022 · External reference
Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk neuroblastoma
10.3389/fgene.2018.00477 · 2018 · External reference
Deep learning–based multi-omics integration robustly predicts survival in liver cancerusing deep learning to predict liver cancer prognosis
10.1158/1078-0432.ccr-17-0853 · 2018 · External reference
Deep learning data integration for better risk stratification models of bladder cancer
2018 · External reference
Prediction of survival and recurrence in patients with pancreatic cancer by integrating multi-omics data
2020 · External reference
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
2021 · External reference
Regression models and life-tables
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Multimodal machine learning: a survey and taxonomy
10.1109/tpami.2018.2798607 · 2018 · External reference
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10.1016/j.tibtech.2020.02.013 · External reference
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10.3390/cancers13123047
10.3390/cancers13123047 · External reference
A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data
2018 · External reference
Classifying breast cancer subtypes using deep neural networks based on multi-omics data
10.3390/genes11080888 · 2020 · External reference
MOLI: multi-omics late integration with deep neural networks for drug response prediction
10.1101/531327 · 2019 · External reference
Unresolved reference
2021 · External reference
A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction
2020 · External reference
Integrate multi-omics data with biological interaction networks using multi-view factorization autoencoder (mae)
2019 · External reference
Mogonet integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
2021 · External reference
Unresolved reference
2022 · External reference
SALMON: survival analysis learning with multi-omics neural networks on breast cancer
10.3389/fgene.2019.00166 · 2019 · External reference
Hfbsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction
10.1093/bioinformatics/btac113 · 2022 · External reference
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis
2020 · External reference
Deep learning with multimodal representation for pancancer prognosis prediction
10.1101/577197 · 2019 · External reference
Long-term cancer survival prediction using multimodal deep learning
2021 · External reference
10.1101/2021.09.16.460589
10.1101/2021.09.16.460589 · External reference
10.1101/2021.03.02.433454
10.1101/2021.03.02.433454 · External reference
10.1038/s41588-021-00962-4
10.1038/s41588-021-00962-4 · External reference
10.1038/s41593-021-00826-4
10.1038/s41593-021-00826-4 · External reference
GWAS of images using deep transfer learning
10.1093/bioinformatics/btac369 · 2022 · External reference
10.1038/s41591-018-0279-0
10.1038/s41591-018-0279-0 · External reference
10.1038/s41588-021-01010-x
10.1038/s41588-021-01010-x · External reference
Prioritization of exome data by image analysis
10.1038/s41436-019-0566-2 · 2019 · External reference
10.1038/ng.3404
10.1038/ng.3404 · External reference
10.1371/journal.pgen.1010251
10.1371/journal.pgen.1010251 · External reference
10.1038/ng.3538
10.1038/ng.3538 · External reference
Pasaniuc CommonMind consortium, bogdan pasaniuc, and panos roussos. A Bayesian framework for multiple trait colocalization from summary association statistics
10.1093/bioinformatics/bty147 · 2018 · External reference
10.1016/j.ajhg.2021.04.010
10.1016/j.ajhg.2021.04.010 · External reference
10.1038/s41593-019-0382-7
10.1038/s41593-019-0382-7 · External reference
Multimodal deep learning for biomedical data fusion: a review
2022 · External reference
10.1038/s41571-019-0252-y
10.1038/s41571-019-0252-y · External reference
10.1038/s41591-019-0462-y
10.1038/s41591-019-0462-y · External reference
10.1038/s41591-019-0508-1
10.1038/s41591-019-0508-1 · External reference
An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning
10.1038/s41467-021-21467-y · 2021 · External reference
10.1038/s41568-021-00408-3
10.1038/s41568-021-00408-3 · External reference
10.1109/cvprw56347.2022.00200
10.1109/cvprw56347.2022.00200 · External reference
Integration of deep learning-based image analysis and genomic data in cancer pathology: a systematic review
10.1016/j.ejca.2021.10.007 · 2022 · External reference
Unresolved reference
2021 · External reference
10.1016/j.ccell.2022.07.004
10.1016/j.ccell.2022.07.004 · External reference
Unresolved reference
2021 · External reference
Combining radiology and pathology for automatic glioma classification
10.3389/fbioe.2022.841958 · 2022 · External reference
10.1245/s10434-020-08659-4
10.1245/s10434-020-08659-4 · External reference
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
10.1038/s43018-022-00388-9 · 2022 · External reference
Multimodal deep learning for prognosis prediction in renal cancer
10.3389/fonc.2021.788740 · 2021 · External reference
10.1038/s41586-021-03512-4
10.1038/s41586-021-03512-4 · External reference
Richer fusion network for breast cancer classification based on multimodal data
10.1186/s12911-020-01340-6 · 2021 · External reference
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
10.1016/j.ejca.2021.02.032 · 2021 · External reference
Key challenges for delivering clinical impact with artificial intelligence
2019 · External reference
10.1016/j.cell.2020.03.022
10.1016/j.cell.2020.03.022 · External reference
10.1126/science.abi5052
10.1126/science.abi5052 · External reference
Unresolved reference
2020 · External reference
10.1038/nature14541
10.1038/nature14541 · External reference
A survey on explainable artificial intelligence (xai): toward medical xai
10.1109/tnnls.2020.3027314 · 2020 · External reference
10.1126/science.aau4832
10.1126/science.aau4832 · External reference
10.1093/bioinformatics/bty643
10.1093/bioinformatics/bty643 · External reference
Re-identification of individuals in genomic datasets using public face images
2021 · External reference
10.1038/s41586-021-03634-9
10.1038/s41586-021-03634-9 · External reference
10.1016/j.cbpa.2014.10.017
10.1016/j.cbpa.2014.10.017 · External reference
Single-cell proteomics: progress and prospects
10.1074/mcp.r120.002234 · 2020 · External reference
10.1038/s41592-021-01255-8
10.1038/s41592-021-01255-8 · External reference
HFBSurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction
10.1093/bioinformatics/btac113 · 2022 · External reference
