 |
|
Review of statistical methods for survival analysis using genomic data
Seungyeoun Lee, Heeju Lim
Genomics Inform. 2019;17(4):e41 Published online 2019 Dec 20 DOI: https://doi.org/10.5808/GI.2019.17.4.e41
|
|
Citations to this article as recorded by
 Cutting-plane algorithm for estimation of sparse Cox proportional hazards models
Hiroki Saishu, Kota Kudo, Yuichi Takano
TOP.2024; 32(1): 57. CrossRef Deep learning for survival analysis: a review
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender
Artificial Intelligence Review.2024;[Epub] CrossRef SurvSHAP(t): Time-dependent explanations of machine learning survival models
Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki, Przemysław Biecek
Knowledge-Based Systems.2023; 262: 110234. CrossRef CAMR: cross-aligned multimodal representation learning for cancer survival prediction
Xingqi Wu, Yi Shi, Minghui Wang, Ao Li, Alfonso Valencia
Bioinformatics.2023;[Epub] CrossRef Bed Allocation Optimization Based on Survival Analysis, Treatment Trajectory and Costs Estimations
Kaouter Karbouband, Mohamed Tabaa
IEEE Access.2023; 11: 31699. CrossRef An artificial intelligence prediction model based on extracellular matrix proteins for the prognostic prediction and immunotherapeutic evaluation of ovarian serous adenocarcinoma
Tianxiang Geng, Mengxue Zheng, Yongfeng Wang, Janne Elin Reseland, Athina Samara
Frontiers in Molecular Biosciences.2023;[Epub] CrossRef Deep Learning Techniques with Genomic Data in Cancer Prognosis: A Comprehensive Review of the 2021–2023 Literature
Minhyeok Lee
Biology.2023; 12(7): 893. CrossRef Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data
Zhenyuan Ning, Zehui Lin, Qing Xiao, Denghui Du, Qianjin Feng, Wufan Chen, Yu Zhang
IEEE Transactions on Neural Networks and Learning Systems.2023; 34(7): 3737. CrossRef Machine learning-based prediction of 1-year mortality for acute coronary syndrome✰
Amir Hadanny, Roni Shouval, Jianhua Wu, Chris P. Gale, Ron Unger, Doron Zahger, Shmuel Gottlieb, Shlomi Matetzky, Ilan Goldenberg, Roy Beigel, Zaza Iakobishvili
Journal of Cardiology.2022; 79(3): 342. CrossRef Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data
Zhenyuan Ning, Denghui Du, Chao Tu, Qianjin Feng, Yu Zhang
IEEE Transactions on Medical Imaging.2022; 41(1): 186. CrossRef Novel Application of Survival Models for Predicting Microbial Community Transitions with Variable Selection for Environmental DNA
Paul Bjorndahl, Joseph P. Bielawski, Lihui Liu, Wei Zhou, Hong Gu, Isaac Cann
Applied and Environmental Microbiology.2022;[Epub] CrossRef An Ensemble Deep Learning Model with a Gene Attention Mechanism for Estimating the Prognosis of Low-Grade Glioma
Minhyeok Lee
Biology.2022; 11(4): 586. CrossRef A nine-gene signature identification and prognostic risk prediction for patients with lung adenocarcinoma using novel machine learning approach
Eskezeia Yihunie Dessie, Jan-Gowth Chang, Ya-Sian Chang
Computers in Biology and Medicine.2022; 145: 105493. CrossRef Prediction of Bronchopneumonia Inpatients’ Total Hospitalization Expenses Based on BP Neural Network and Support Vector Machine Models
Cuiyun Wu, Dahui Zha, Hong Gao, Yao Chen
Computational and Mathematical Methods in Medicine.2022; 2022: 1. CrossRef A convolutional neural network model for survival prediction based on prognosis-related cascaded Wx feature selection
Qingyan Yin, Wangwang Chen, Chunxia Zhang, Zhi Wei
Laboratory Investigation.2022; 102(10): 1064. CrossRef Predicting Web Survey Breakoffs Using Machine Learning Models
Zeming Chen, Alexandru Cernat, Natalie Shlomo
Social Science Computer Review.2022; : 089443932211120. CrossRef SurvBenchmark: comprehensive benchmarking study of survival analysis methods using both omics data and clinical data
Yunwei Zhang, Germaine Wong, Graham Mann, Samuel Muller, Jean Y H Yang
GigaScience.2022;[Epub] CrossRef highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data
Atanu Bhattacharjee, Gajendra K. Vishwakarma, Souvik Banerjee, Alexander F. Pashchenko
Expert Systems with Applications.2022; 210: 118432. CrossRef Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks
Rounak Dey, Wei Zhou, Tuomo Kiiskinen, Aki Havulinna, Amanda Elliott, Juha Karjalainen, Mitja Kurki, Ashley Qin, Seunggeun Lee, Aarno Palotie, Benjamin Neale, Mark Daly, Xihong Lin
Nature Communications.2022;[Epub] CrossRef Estimating the Prognosis of Low-Grade Glioma with Gene Attention Using Multi-Omics and Multi-Modal Schemes
Sanghyuk Roy Choi, Minhyeok Lee
Biology.2022; 11(10): 1462. CrossRef Identification of Key Prognosis-related microRNAs in Early- and Late-
Stage Gynecological Cancers Based on TCGA Data
Venugopala Reddy Mekala, Chiang Hui-Shan, Chang Jan-Gowth, Ka-Lok Ng
Current Bioinformatics.2022; 17(9): 860. CrossRef Machine learning and artificial intelligence in haematology
Roni Shouval, Joshua A. Fein, Bipin Savani, Mohamad Mohty, Arnon Nagler
British Journal of Haematology.2021; 192(2): 239. CrossRef A Machine Learning Model With Survival Statistics to Identify Predictors of Descemet Stripping Automated Endothelial Keratoplasty Graft Failure
Joelle A. Hallak
JAMA Ophthalmology.2021; 139(2): 198. CrossRef Construction and Validation of a Prognostic Gene-Based Model for Overall Survival Prediction in Hepatocellular Carcinoma Using an Integrated Statistical and Bioinformatic Approach
Eskezeia Yihunie Dessie, Siang-Jyun Tu, Hui-Shan Chiang, Jeffrey J.P. Tsai, Ya-Sian Chang, Jan-Gowth Chang, Ka-Lok Ng
International Journal of Molecular Sciences.2021; 22(4): 1632. CrossRef A machine learning‐based survival prediction model of high grade glioma by integration of clinical and dose‐volume histogram parameters
Haiyan Chen, Chao Li, Lin Zheng, Wei Lu, Yanlin Li, Qichun Wei
Cancer Medicine.2021; 10(8): 2774. CrossRef External Validation of the Bone Metastases Ensemble Trees for Survival (BMETS) Machine Learning Model to Predict Survival in Patients With Symptomatic Bone Metastases
Christen R. Elledge, Anna W. LaVigne, Jacob Fiksel, Jean L. Wright, Todd McNutt, Lawrence R. Kleinberg, Chen Hu, Thomas J. Smith, Scott Zeger, Theodore L. DeWeese, Sara R. Alcorn
JCO Clinical Cancer Informatics.2021; (5): 304. CrossRef Fenchel duality of Cox partial likelihood with an application in survival kernel learning
Christopher M. Wilson, Kaiqiao Li, Qiang Sun, Pei Fen Kuan, Xuefeng Wang
Artificial Intelligence in Medicine.2021; 116: 102077. CrossRef Deep Learning-Based Survival Analysis for High-Dimensional Survival Data
Lin Hao, Juncheol Kim, Sookhee Kwon, Il Do Ha
Mathematics.2021; 9(11): 1244. CrossRef A prospective, randomised clinical study comparing triple therapy regimen to hydrocortisone monotherapy in reducing mortality in septic shock patients
Abdelrhman A. Hussein, Nirmeen A. Sabry, Maged S. Abdalla, Samar F. Farid
International Journal of Clinical Practice.2021;[Epub] CrossRef A novel miRNA-based classification model of risks and stages for clear cell renal cell carcinoma patients
Eskezeia Y. Dessie, Jeffrey J. P. Tsai, Jan-Gowth Chang, Ka-Lok Ng
BMC Bioinformatics.2021;[Epub] CrossRef Basics of survival statistics for oncologists
Anurag Mehta, Anurag Sharma
Journal of Current Oncology.2021; 4(1): 13. CrossRef COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal
Francesca Bottino, Emanuela Tagliente, Luca Pasquini, Alberto Di Napoli, Martina Lucignani, Lorenzo Figà-Talamanca, Antonio Napolitano
Journal of Personalized Medicine.2021; 11(9): 893. CrossRef Künstliche Intelligenz in der Hämatologie
Kolja Nenoff, Nora Grieb, Alexander Oeser, Thomas Neumuth, Uwe Platzbecker, Anne Sophie Kubasch
InFo Hämatologie + Onkologie.2021; 24(12): 10. CrossRef The preventive strategy for pandemics in the elderly is to collect in advance samples & data to counteract chronic inflammation (inflammaging)
Georg Fuellen, Oliver Liesenfeld, Axel Kowald, Israel Barrantes, Manuela Bastian, Andreas Simm, Ludger Jansen, Alexander Tietz-Latza, Dagmar Quandt, Claudio Franceschi, Michael Walter
Ageing Research Reviews.2020; 62: 101091. CrossRef Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models
Xingyu Zheng, Christopher I. Amos, H. Robert Frost
BMC Bioinformatics.2020;[Epub] CrossRef
|