Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA

Zhao, Q., Shi, X., Xie, Y., Huang, J., Shia, B., Ma, S.·2015·Briefings in Bioinformatics

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  5. B-CAN: a resource sharing platform to improve the operation, visualization and integrated analysis of TCGA breast cancer data
    Canhong Wen, Shao-Min Ou, Xiao-Bo Guo, Chen–Feng Liu, Yan-Bo Shen, Na You, Cai Wei-hong, Wen-Jun Shen, Xueqin Wang, Haizhu Tan · 2017 · Oncotarget
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  8. Biologically inspired survival analysis based on integrating gene expression as mediator with genomic variants
    Ibrahim Youssef, Robert C. Clarke, Ie‐Ming Shih, Yue Wang, Guoqiang Yu · 2016 · Computers in Biology and Medicine
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  11. Epithelial Mesenchymal Transition Network-Based Feature Engineering in Lung Adenocarcinoma Prognosis Prediction Using Multiple Omic Data
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  15. Proteases as Biological Bits for Programmable Medicine
    Brandon Alexander Holt, Gabriel A. Kwong · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
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  18. Regulation of Lung Adenocarcinoma Metastasis by AH-6809 via NLRP7 and Prognostic Evaluation of Critical Metastasis-Associated Genes
    Khalid Rahman, Ayesha Malik, Farhan Iqbal, Usman Tariq · 2023 · Specialty journal of Pharmacognosy Phytochemistry and Biotechnology
  19. Assessment of prognostic prediction models for gastric cancer using genomic and transcriptomic profiles
    Ping Sun, Qun Lü, Zhihua Li, Na Qin, Yue Jiang, Hongxia Ma, Guangfu Jin, Hao Yu, Juncheng Dai · 2021 · Meta Gene
  20. Research on Prognostic Risk Assessment Algorithm Based on Graph Neural Networks and Attention Mechanisms
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    Baoshan Ma, Bingjie Chai, Mingkun Fang, Jishuang Qi, Xiaoyu Hou, Xinyu Zhang, Zongjiang Gao, Fanyu Meng, Fengju Song · 2021 · Communications in computer and information science
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  23. Biomedical data integration in cancer genomics
    Riku Louhimo · 2015 · Työväentutkimus Vuosikirja
  24. An integrative genomic study for multimodal genomic data using multi-block bipartite graph
    Mingon Kang, Ju Young Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao · 2015 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  25. Biological Big Data Analysis of Competing Endogenous RNA Network and mRNA Biomarker in Liver Cancer
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  26. Penalized estimation for single-index varying-coefficient models with applications to integrative genomic analysis
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  27. Computational Personalized Medicine in Cancer Research in the -Omics Data Era
    Duc‐Hau Le, Quynh Diep Nguyen · 2020 · Research and Development on Information and Communication Technology
  28. Correlation Analysis of SLC7A11 Low Expression and Prognosis of Patients with Liver Cancer
    振宇 唐 · 2021 · Advances in Clinical Medicine
  29. Prognostic power of molecular and clinical data across cancer types
    Xinsen Xu, Wei Ting Wang, Min He, Linhua Yang, Wei Chen, Jian Wang · 2020
  30. Peer Review #1 of "A pan-cancer analysis of prognostic genes (v0.2)"
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    SOFIA PONTES DE MIRANDA · 2021
  32. Peer Review #2 of "A pan-cancer analysis of prognostic genes (v0.2)"
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  33. Peer Review #1 of "A pan-cancer analysis of prognostic genes (v0.1)"
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  34. Peer Review #3 of "A pan-cancer analysis of prognostic genes (v0.2)"
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  35. Peer Review #2 of "A pan-cancer analysis of prognostic genes (v0.1)"
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  36. Peer Review #3 of "A pan-cancer analysis of prognostic genes (v0.1)"
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  37. Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations
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  38. Relative Relations in Biomedical Data Classification
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  39. Artificial Bee Colony Algorithm in Multi-omics Analysis: A Case Study
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  40. Development and Validation of an Anoikis-Related Gene Signature for Prognostic Prediction in Cervical Cancer
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  42. Identifying survival subtypes with autoencoder using multiple types of high-dimensional genomic data from studies of glioblastoma multiforme
    Imran Parvez, Jie Chen · 2025 · Briefings in Bioinformatics
  43. 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-screening
    Rémy Jardillier, Dzenis Koça, Florent Chatelain, Laurent Guyon · 2022 · Figshare
  44. 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-screening
    Rémy Jardillier, Dzenis Koça, Florent Chatelain, Laurent Guyon · 2022 · Figshare
  45. 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-screening
    Rémy Jardillier, Dzenis Koça, Florent Chatelain, Laurent Guyon · 2022 · Figshare
  46. Additional file 1 of Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction
    Zheng, Xingyu, Amos, Christopher I., Frost, H. Robert · 2021 · Figshare
  47. 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 study
    Yingxia Li, Tobias Herold, Mansmann, Ulrich, Roman Hornung · 2024 · Figshare
  48. Additional file 1 of Benchmark study of feature selection strategies for multi-omics data
    Yingxia Li, Mansmann, Ulrich, Shangming Du, Roman Hornung · 2022 · Figshare
  49. Evaluation de différentes variantes du modèle de Cox pour le pronostic de patients atteints de cancer à partir de données publiques de séquençage et cliniques
    Rémy Jardillier · 2020
  50. Marqueurs moléculaires ciblés pour le pronostic et le traitement des corticosurrénalomes : de la génomique à la médecine personnalisée
    Anne Jouinot · 2020 · theses.fr (ABES)
  51. Multi-omics data integration using time-to event endpoint and supervised Cox penalized regression: a comprehensive review
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  53. Unveiling Novel Potential Biomarkers in Prostate Cancer: A Comprehensive Bioinformatics and Machine Learning Approach
    Nicolly Clemente de Melo, Danilo Cardoso de Oliveira, Lucas Miguel de Carvalho · 2026 · AI in Medicine
  54. Multi-dimensional structure and subtype-specific heterogeneity of angiogenesis in breast cancer
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