203 related articles for article (PubMed ID: 27049046)
1. Assessing and comparison of different machine learning methods in parent-offspring trios for genotype imputation.
Mikhchi A; Honarvar M; Kashan NE; Aminafshar M
J Theor Biol; 2016 Jun; 399():148-58. PubMed ID: 27049046
[TBL] [Abstract][Full Text] [Related]
2. Comparison of three boosting methods in parent-offspring trios for genotype imputation using simulation study.
Mikhchi A; Honarvar M; Emam Jomeh Kashan N; Zerehdaran S; Aminafshar M
J Anim Sci Technol; 2016; 58():1. PubMed ID: 26740888
[TBL] [Abstract][Full Text] [Related]
3. The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model.
Guo CY; Yang YC; Chen YH
Front Public Health; 2021; 9():680054. PubMed ID: 34291028
[TBL] [Abstract][Full Text] [Related]
4. Imputation of unordered markers and the impact on genomic selection accuracy.
Rutkoski JE; Poland J; Jannink JL; Sorrells ME
G3 (Bethesda); 2013 Mar; 3(3):427-39. PubMed ID: 23449944
[TBL] [Abstract][Full Text] [Related]
5. Comparison among three variant callers and assessment of the accuracy of imputation from SNP array data to whole-genome sequence level in chicken.
Ni G; Strom TM; Pausch H; Reimer C; Preisinger R; Simianer H; Erbe M
BMC Genomics; 2015 Oct; 16():824. PubMed ID: 26486989
[TBL] [Abstract][Full Text] [Related]
6. A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals.
Browning BL; Browning SR
Am J Hum Genet; 2009 Feb; 84(2):210-23. PubMed ID: 19200528
[TBL] [Abstract][Full Text] [Related]
7. A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods.
Ge Y; Li Z; Zhang J
Sci Rep; 2023 Jun; 13(1):9432. PubMed ID: 37296269
[TBL] [Abstract][Full Text] [Related]
8. Accuracy of genotype imputation in Nelore cattle.
Carvalheiro R; Boison SA; Neves HH; Sargolzaei M; Schenkel FS; Utsunomiya YT; O'Brien AM; Sölkner J; McEwan JC; Van Tassell CP; Sonstegard TS; Garcia JF
Genet Sel Evol; 2014 Oct; 46(1):69. PubMed ID: 25927950
[TBL] [Abstract][Full Text] [Related]
9. Fast imputation using medium or low-coverage sequence data.
VanRaden PM; Sun C; O'Connell JR
BMC Genet; 2015 Jul; 16():82. PubMed ID: 26168789
[TBL] [Abstract][Full Text] [Related]
10. Accuracy of imputation of single nucleotide polymorphism marker genotypes from low-density panels in Japanese Black cattle.
Ogawa S; Matsuda H; Taniguchi Y; Watanabe T; Takasuga A; Sugimoto Y; Iwaisaki H
Anim Sci J; 2016 Jan; 87(1):3-12. PubMed ID: 26032028
[TBL] [Abstract][Full Text] [Related]
11. Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example.
Wang H; Tang J; Wu M; Wang X; Zhang T
BMC Med Inform Decis Mak; 2022 Jan; 22(1):13. PubMed ID: 35027065
[TBL] [Abstract][Full Text] [Related]
12. Machine learning models in breast cancer survival prediction.
Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
[TBL] [Abstract][Full Text] [Related]
13. Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasets.
Li J; Guo S; Ma R; He J; Zhang X; Rui D; Ding Y; Li Y; Jian L; Cheng J; Guo H
BMC Med Res Methodol; 2024 Feb; 24(1):41. PubMed ID: 38365610
[TBL] [Abstract][Full Text] [Related]
14. Whole-genome characterization in pedigreed non-human primates using genotyping-by-sequencing (GBS) and imputation.
Bimber BN; Raboin MJ; Letaw J; Nevonen KA; Spindel JE; McCouch SR; Cervera-Juanes R; Spindel E; Carbone L; Ferguson B; Vinson A
BMC Genomics; 2016 Aug; 17(1):676. PubMed ID: 27558348
[TBL] [Abstract][Full Text] [Related]
15. Advanced methods for missing values imputation based on similarity learning.
Fouad KM; Ismail MM; Azar AT; Arafa MM
PeerJ Comput Sci; 2021; 7():e619. PubMed ID: 34395861
[TBL] [Abstract][Full Text] [Related]
16. Assets of imputation to ultra-high density for productive and functional traits.
Jiménez-Montero JA; Gianola D; Weigel K; Alenda R; González-Recio O
J Dairy Sci; 2013 Sep; 96(9):6047-58. PubMed ID: 23810591
[TBL] [Abstract][Full Text] [Related]
17. Imputing missing genotypes with weighted k nearest neighbors.
Schwender H
J Toxicol Environ Health A; 2012; 75(8-10):438-46. PubMed ID: 22686303
[TBL] [Abstract][Full Text] [Related]
18. LinkImpute: Fast and Accurate Genotype Imputation for Nonmodel Organisms.
Money D; Gardner K; Migicovsky Z; Schwaninger H; Zhong GY; Myles S
G3 (Bethesda); 2015 Sep; 5(11):2383-90. PubMed ID: 26377960
[TBL] [Abstract][Full Text] [Related]
19. An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.
Liu Y; Gopalakrishnan V
Data (Basel); 2017 Mar; 2(1):. PubMed ID: 28243594
[TBL] [Abstract][Full Text] [Related]
20. Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
Fernández-Delgado M; Cernadas E; Barro S; Ribeiro J; Neves J
Neural Netw; 2014 Feb; 50():60-71. PubMed ID: 24287336
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
