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For: Cao H, Zhou J, Schwarz E. RMTL: an R library for multi-task learning. Bioinformatics 2020;35:1797-1798. [PMID: 30256897 DOI: 10.1093/bioinformatics/bty831] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 08/20/2018] [Accepted: 09/25/2018] [Indexed: 11/14/2022]  Open
Number Cited by Other Article(s)
1
Fu M, Lin Y, Yang J, Cheng J, Lin L, Wang G, Long C, Xu S, Lu J, Li G, Yan J, Chen G, Zhuo S, Chen D. Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer. Gastric Cancer 2024;27:1242-1257. [PMID: 39271552 DOI: 10.1007/s10120-024-01551-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 09/02/2024] [Indexed: 09/15/2024]
2
Wang L, Wang H, D’Angelo F, Curtin L, Sereduk CP, Leon GD, Singleton KW, Urcuyo J, Hawkins-Daarud A, Jackson PR, Krishna C, Zimmerman RS, Patra DP, Bendok BR, Smith KA, Nakaji P, Donev K, Baxter LC, Mrugała MM, Ceccarelli M, Iavarone A, Swanson KR, Tran NL, Hu LS, Li J. Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. PLoS One 2024;19:e0299267. [PMID: 38568950 PMCID: PMC10990246 DOI: 10.1371/journal.pone.0299267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 02/06/2024] [Indexed: 04/05/2024]  Open
3
Anguita-Ruiz A, Amine I, Stratakis N, Maitre L, Julvez J, Urquiza J, Luo C, Nieuwenhuijsen M, Thomsen C, Grazuleviciene R, Heude B, McEachan R, Vafeiadi M, Chatzi L, Wright J, Yang TC, Slama R, Siroux V, Vrijheid M, Basagaña X. Beyond the single-outcome approach: A comparison of outcome-wide analysis methods for exposome research. ENVIRONMENT INTERNATIONAL 2023;182:108344. [PMID: 38016387 DOI: 10.1016/j.envint.2023.108344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/16/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023]
4
Cao H, Hong X, Tost H, Meyer-Lindenberg A, Schwarz E. Advancing translational research in neuroscience through multi-task learning. Front Psychiatry 2022;13:993289. [PMID: 36465289 PMCID: PMC9714033 DOI: 10.3389/fpsyt.2022.993289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/24/2022] [Indexed: 11/18/2022]  Open
5
Cao H, Zhang Y, Baumbach J, Burton PR, Dwyer D, Koutsouleris N, Matschinske J, Marcon Y, Rajan S, Rieg T, Ryser-Welch P, Späth J, Herrmann C, Schwarz E. dsMTL - a computational framework for privacy-preserving, distributed multi-task machine learning. Bioinformatics 2022;38:4919-4926. [PMID: 36073911 DOI: 10.1093/bioinformatics/btac616] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 11/12/2022]  Open
6
De Francesco D, Blumenfeld YJ, Marić I, Mayo JA, Chang AL, Fallahzadeh R, Phongpreecha T, Butwick AJ, Xenochristou M, Phibbs CS, Bidoki NH, Becker M, Culos A, Espinosa C, Liu Q, Sylvester KG, Gaudilliere B, Angst MS, Stevenson DK, Shaw GM, Aghaeepour N. A data-driven health index for neonatal morbidities. iScience 2022;25:104143. [PMID: 35402862 PMCID: PMC8990172 DOI: 10.1016/j.isci.2022.104143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 01/14/2022] [Accepted: 03/20/2022] [Indexed: 11/16/2022]  Open
7
Golchi S, Fu J, Liu X, Yu E, Forghani R, Bhatnagar S. Sparse Bayesian Predictive Modelling of Tumor Response Using Radiomic Features. Stat (Int Stat Inst) 2022. [DOI: 10.1002/sta4.450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
8
Hossain SMM, Khatun L, Ray S, Mukhopadhyay A. Pan-cancer classification by regularized multi-task learning. Sci Rep 2021;11:24252. [PMID: 34930937 PMCID: PMC8688544 DOI: 10.1038/s41598-021-03554-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 12/06/2021] [Indexed: 01/16/2023]  Open
9
Rauschenberger A, Glaab E. Predicting correlated outcomes from molecular data. Bioinformatics 2021;37:3889-3895. [PMID: 34358294 DOI: 10.1093/bioinformatics/btab576] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/14/2021] [Accepted: 08/05/2021] [Indexed: 11/14/2022]  Open
10
Ülgen E, Sezerman OU. driveR: a novel method for prioritizing cancer driver genes using somatic genomics data. BMC Bioinformatics 2021;22:263. [PMID: 34030627 PMCID: PMC8142487 DOI: 10.1186/s12859-021-04203-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 05/17/2021] [Indexed: 12/15/2022]  Open
11
Xie L, He S, Zhang Z, Lin K, Bo X, Yang S, Feng B, Wan K, Yang K, Yang J, Ding Y. Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. Bioinformatics 2020;36:2848-2855. [PMID: 31999334 DOI: 10.1093/bioinformatics/btaa063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 12/23/2019] [Accepted: 01/23/2020] [Indexed: 12/11/2022]  Open
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