Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Saskya Mary Soemartojo"'
Autor:
Titin Siswantining, Alhadi Bustamam, Devvi Sarwinda, Saskya Mary Soemartojo, Moh. Abdul Latief, Elke Annisa Octaria, Anggrainy Togi Marito Siregar, Oon Septa, Herley Shaori Al-Ash, Noval Saputra
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 7298-7301 (2023)
Externí odkaz:
https://doaj.org/article/3c143b8759d84a3d83124b9f140f8bdd
Autor:
Saskya Mary Soemartojo, Titin Siswantining, Yoel Fernando, Devvi Sarwinda, Herley Shaori Al-Ash, Sarah Syarofina, Noval Saputra
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 8741-8759 (2022)
Microarray and RNA-sequencing (RNA-seq) techniques each produce gene expression data that can be expressed as a matrix that often contains missing values. Thus, a process of missing-value imputation that uses coherence information of the dataset is n
Externí odkaz:
https://doaj.org/article/08301a3e6825481595f46368b8574e5a
Autor:
Titin Siswantining, Alhadi Bustamam, Devvi Sarwinda, Saskya Mary Soemartojo, Moh. Abdul Latief, Elke Annisa Octaria, Anggrainy Togi Marito Siregar, Oon Septa, Herley Shaori Al-Ash, oval Saputra
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 6743-6763 (2022)
HIV-1 is a virus that destroys CD4 + cells in the body's immune system, causing a drastic decline in immune system performance. Analysis of HIV-1 gene expression data is urgently needed. Microarray technology is used to analyze gene expression data b
Externí odkaz:
https://doaj.org/article/5d30cc5d00b0481f89d58f8c8ca3ea21
Autor:
Titin Siswantining, Maria Armelia Sekar Istianingrum, Saskya Mary Soemartojo, Devvi Sarwinda, Noval Saputra, Setia Pramana, Rully Charitas Indra Prahmana
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4219 (2023)
Triclustering is a data mining method for grouping data based on similar characteristics. The main purpose of a triclustering analysis is to obtain an optimal tricluster, which has a minimum mean square residue (MSR) and a maximum tricluster volume.
Externí odkaz:
https://doaj.org/article/cff1e69e08ad4cb7a96ce20aa462bb01
Autor:
Titin Siswantining, Muhammad Ihsan, Saskya Mary Soemartojo, Devvi Sarwinda, Herley Shaori Al-Ash, Ika Marta Sari
Publikováno v:
Media Statistika, Vol 14, Iss 1, Pp 68-78 (2021)
Missing values are a problem that is often encountered in various fields and must be addressed to obtain good statistical inference such as parameter estimation. Missing values can be found in any type of data, included count data that has Poisson di
Externí odkaz:
https://doaj.org/article/085eeaf70de245ddbb94462e98d260ed
Autor:
Titin Siswantining, Kathan Gerry Vivaldi, Devvi Sarwinda, Saskya Mary Soemartojo, Ika Mattasari, Herley Al-Ash
Publikováno v:
Indonesian Journal of Statistics and Its Applications. 6:1-12
The purpose of this study is to implement the ensemble self-organizing maps (E-SOM) method to impute missing values at the preprocessing data stage, which is an important stage when making predictions or classifications. The Ensemble Self-Organizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e477e05b3257a61d3607d033d357b7
https://doi.org/10.29244/ijsa.v6i1p1-12
https://doi.org/10.29244/ijsa.v6i1p1-12
Publikováno v:
Xplore: Journal of Statistics. 10:70-87
PT Asuransi ABC in collaboration with 68 companies, consists of 34960 participants, of which there are 1731 participants who filed claims. This study uses secondary data period July 1, 2013 - 30 September 2014. This study focused on inpatient claims,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9365f4971de160f24bb1cb19d411786
https://doi.org/10.29244/xplore.v10i1.740
https://doi.org/10.29244/xplore.v10i1.740
Publikováno v:
2020 4th International Conference on Informatics and Computational Sciences (ICICoS).
Triclustering analysis is the development of clustering analysis and biclustering analysis. The purpose of triclustering study is to group three-dimensional data simultaneously. The three-dimensional data can be in the form of observations, attribute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32741edc8bd3e8f5516a4d737d45917d
https://doi.org/10.1109/icicos51170.2020.9299108
https://doi.org/10.1109/icicos51170.2020.9299108
Publikováno v:
2020 4th International Conference on Informatics and Computational Sciences (ICICoS).
Triclustering is the expansion of clustering and biclustering methods that works on three-dimensional (3D) data. This method is generally implemented in the analysis of 3D gene expression data to find gene expression profiles. This data consists of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e91b06137d1b1f5846d72333cfcbffc
https://doi.org/10.1109/icicos51170.2020.9299101
https://doi.org/10.1109/icicos51170.2020.9299101
Publikováno v:
2020 3rd International Conference on Biomedical Engineering (IBIOMED).
Triclustering has been applied to three-dimensional gene expression data (gene, condition, and time) to group the dataset into sub-matrix groups that have similarities. One of the algorithms of triclustering analysis is the Extended Dimension Iterati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eb4ef0eb3c34dd0252053534f6d59f4
https://doi.org/10.1109/ibiomed50285.2020.9487606
https://doi.org/10.1109/ibiomed50285.2020.9487606