Proteogenomics: statistical issues in data integration and prediction (2019)
- Autor:
- Autor USP: SOLER, JULIA MARIA PAVAN - IME
- Unidade: IME
- Assunto: GENÉTICA ESTATÍSTICA
- Keywords: Matrix factorization; Varying coefficients; Multi-omics data; Family based design; Complex data
- Language: Inglês
- Imprenta:
- Publisher: Department of Statistics Malaysia
- Publisher place: Putrajaya
- Date published: 2019
- Source:
- Conference titles: ISI World Statistics Congress
-
ABNT
SOLER, Júlia Maria Pavan. Proteogenomics: statistical issues in data integration and prediction. 2019, Anais.. Putrajaya: Department of Statistics Malaysia, 2019. Disponível em: https://2019.isiproceedings.org/Files/6.Special-Topic-Session(STS)-Volume-4.pdf. Acesso em: 13 fev. 2026. -
APA
Soler, J. M. P. (2019). Proteogenomics: statistical issues in data integration and prediction. In Proceedings : Special topic session. Putrajaya: Department of Statistics Malaysia. Recuperado de https://2019.isiproceedings.org/Files/6.Special-Topic-Session(STS)-Volume-4.pdf -
NLM
Soler JMP. Proteogenomics: statistical issues in data integration and prediction [Internet]. Proceedings : Special topic session. 2019 ;[citado 2026 fev. 13 ] Available from: https://2019.isiproceedings.org/Files/6.Special-Topic-Session(STS)-Volume-4.pdf -
Vancouver
Soler JMP. Proteogenomics: statistical issues in data integration and prediction [Internet]. Proceedings : Special topic session. 2019 ;[citado 2026 fev. 13 ] Available from: https://2019.isiproceedings.org/Files/6.Special-Topic-Session(STS)-Volume-4.pdf - Using the theory of added-variable plot for linear mixed models to decompose genetic effects in family data
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