122 related articles for article (PubMed ID: 38143734)
1. Automated calibration for stability selection in penalised regression and graphical models.
Bodinier B; Filippi S; Nøst TH; Chiquet J; Chadeau-Hyam M
J R Stat Soc Ser C Appl Stat; 2023 Nov; 72(5):1375-1393. PubMed ID: 38143734
[TBL] [Abstract][Full Text] [Related]
2. Regularized estimation of large-scale gene association networks using graphical Gaussian models.
Krämer N; Schäfer J; Boulesteix AL
BMC Bioinformatics; 2009 Nov; 10():384. PubMed ID: 19930695
[TBL] [Abstract][Full Text] [Related]
3. Tailored graphical lasso for data integration in gene network reconstruction.
Lingjærde C; Lien TG; Borgan Ø; Bergholtz H; Glad IK
BMC Bioinformatics; 2021 Oct; 22(1):498. PubMed ID: 34654363
[TBL] [Abstract][Full Text] [Related]
4. A comparison of penalised regression methods for informing the selection of predictive markers.
Greenwood CJ; Youssef GJ; Letcher P; Macdonald JA; Hagg LJ; Sanson A; Mcintosh J; Hutchinson DM; Toumbourou JW; Fuller-Tyszkiewicz M; Olsson CA
PLoS One; 2020; 15(11):e0242730. PubMed ID: 33216811
[TBL] [Abstract][Full Text] [Related]
5. StabJGL: a stability approach to sparsity and similarity selection in multiple-network reconstruction.
Lingjærde C; Richardson S
Bioinform Adv; 2023; 3(1):vbad185. PubMed ID: 38152341
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India.
Das B; Nair B; Reddy VK; Venkatesh P
Int J Biometeorol; 2018 Oct; 62(10):1809-1822. PubMed ID: 30043218
[TBL] [Abstract][Full Text] [Related]
7. VSOLassoBag: a variable-selection oriented LASSO bagging algorithm for biomarker discovery in omic-based translational research.
Liang J; Wang C; Zhang D; Xie Y; Zeng Y; Li T; Zuo Z; Ren J; Zhao Q
J Genet Genomics; 2023 Mar; 50(3):151-162. PubMed ID: 36608930
[TBL] [Abstract][Full Text] [Related]
8. Leveraging pleiotropic association using sparse group variable selection in genomics data.
Sutton M; Sugier PE; Truong T; Liquet B
BMC Med Res Methodol; 2022 Jan; 22(1):9. PubMed ID: 34996381
[TBL] [Abstract][Full Text] [Related]
9. Automated calibration of consensus weighted distance-based clustering approaches using sharp.
Bodinier B; Vuckovic D; Rodrigues S; Filippi S; Chiquet J; Chadeau-Hyam M
Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37847776
[TBL] [Abstract][Full Text] [Related]
10. MP-LASSO chart: a multi-level polar chart for visualizing group LASSO analysis of genomic data.
Song M; Lee M; Park T; Park M
Genomics Inform; 2022 Dec; 20(4):e48. PubMed ID: 36617655
[TBL] [Abstract][Full Text] [Related]
11. Associations between the urban exposome and type 2 diabetes: Results from penalised regression by least absolute shrinkage and selection operator and random forest models.
Ohanyan H; Portengen L; Kaplani O; Huss A; Hoek G; Beulens JWJ; Lakerveld J; Vermeulen R
Environ Int; 2022 Dec; 170():107592. PubMed ID: 36306550
[TBL] [Abstract][Full Text] [Related]
12. RRegrs: an R package for computer-aided model selection with multiple regression models.
Tsiliki G; Munteanu CR; Seoane JA; Fernandez-Lozano C; Sarimveis H; Willighagen EL
J Cheminform; 2015; 7():46. PubMed ID: 26379782
[TBL] [Abstract][Full Text] [Related]
13. Identification of DNA methylation patterns and biomarkers for clear-cell renal cell carcinoma by multi-omics data analysis.
Liu P; Tian W
PeerJ; 2020; 8():e9654. PubMed ID: 32832275
[TBL] [Abstract][Full Text] [Related]
14. Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Garcia-Carretero R; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
Med Biol Eng Comput; 2019 Sep; 57(9):2011-2026. PubMed ID: 31346948
[TBL] [Abstract][Full Text] [Related]
15. Multi-omic prediction of incident type 2 diabetes.
Carrasco-Zanini J; Pietzner M; Wheeler E; Kerrison ND; Langenberg C; Wareham NJ
Diabetologia; 2024 Jan; 67(1):102-112. PubMed ID: 37889320
[TBL] [Abstract][Full Text] [Related]
16. The cluster graphical lasso for improved estimation of Gaussian graphical models.
Tan KM; Witten D; Shojaie A
Comput Stat Data Anal; 2015 May; 85():23-36. PubMed ID: 25642008
[TBL] [Abstract][Full Text] [Related]
17. Parsimonious and robust multivariate calibration with rational function Least Absolute Shrinkage and Selection Operator and rational function Elastic Net.
Teppola P; Taavitsainen VM
Anal Chim Acta; 2013 Mar; 768():57-68. PubMed ID: 23473250
[TBL] [Abstract][Full Text] [Related]
18. Developing non-response weights to account for attrition-related bias in a longitudinal pregnancy cohort.
Pitt TM; Hetherington E; Adhikari K; Premji S; Racine N; Tough SC; McDonald S
BMC Med Res Methodol; 2023 Dec; 23(1):295. PubMed ID: 38097944
[TBL] [Abstract][Full Text] [Related]
19. Stability selection for mixed effect models with large numbers of predictor variables: A simulation study.
Hyde R; O'Grady L; Green M
Prev Vet Med; 2022 Sep; 206():105714. PubMed ID: 35843027
[TBL] [Abstract][Full Text] [Related]
20. Identification of optimal prediction models using multi-omic data for selecting hybrid rice.
Wang S; Wei J; Li R; Qu H; Chater JM; Ma R; Li Y; Xie W; Jia Z
Heredity (Edinb); 2019 Sep; 123(3):395-406. PubMed ID: 30911139
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]