Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA
Cited by (154)
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- An integrative genomic study for multimodal genomic data using multi-block bipartite graphMingon Kang, Ju Young Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao · 2015 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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- Penalized estimation for single-index varying-coefficient models with applications to integrative genomic analysisHoi Min Ng, Binyan Jiang, Kin Yau Wong · 2020 · arXiv (Cornell University)
- Computational Personalized Medicine in Cancer Research in the -Omics Data EraDuc‐Hau Le, Quynh Diep Nguyen · 2020 · Research and Development on Information and Communication Technology
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- Relative Relations in Biomedical Data ClassificationMarcin Czajkowski · 2023 · IGI Global eBooks
- Artificial Bee Colony Algorithm in Multi-omics Analysis: A Case StudySaira Hamid, Alisha Ansari, Raiyan Ali · 2024 · Springer tracts in nature-inspired computing
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- Identifying survival subtypes with autoencoder using multiple types of high-dimensional genomic data from studies of glioblastoma multiformeImran Parvez, Jie Chen · 2025 · Briefings in Bioinformatics
- Additional file 3 of Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screeningRémy Jardillier, Dzenis Koça, Florent Chatelain, Laurent Guyon · 2022 · Figshare
- Additional file 1 of Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screeningRémy Jardillier, Dzenis Koça, Florent Chatelain, Laurent Guyon · 2022 · Figshare
- Additional file 2 of Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screeningRémy Jardillier, Dzenis Koça, Florent Chatelain, Laurent Guyon · 2022 · Figshare
- Additional file 1 of Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis predictionZheng, Xingyu, Amos, Christopher I., Frost, H. Robert · 2021 · Figshare
- Additional file 1 of Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark studyYingxia Li, Tobias Herold, Mansmann, Ulrich, Roman Hornung · 2024 · Figshare
- Additional file 1 of Benchmark study of feature selection strategies for multi-omics dataYingxia Li, Mansmann, Ulrich, Shangming Du, Roman Hornung · 2022 · Figshare
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