Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Yin Jing Tien"'
Publikováno v:
IEEE Access, Vol 8, Pp 132106-132120 (2020)
Mixed Datasets with complex interactions between categorical and numerical attributes are common in engineering and business applications. For example, production rates in manufacturing systems are jointly influenced by several categorical and numeri
Externí odkaz:
https://doaj.org/article/36585ab395054b89a2b1f91753cc8c29
Autor:
Meng-Ting Yang, Wei-Hung Chang, Tien-Fen Kuo, Ming-Yi Shen, Chu-Wen Yang, Yin-Jing Tien, Bun-Yueh Lai, Yet-Ran Chen, Yi-Cheng Chang, Wen-Chin Yang
Publikováno v:
Frontiers in Endocrinology, Vol 12 (2021)
Reliable protein markers for pre-diabetes in humans are not clinically available. In order to identify novel and reliable protein markers for pre-diabetes in humans, healthy volunteers and patients diagnosed with pre-diabetes and stroke were recruite
Externí odkaz:
https://doaj.org/article/b130650407f84a0cb54eac135f26b9fc
Publikováno v:
IEEE Design & Test. 38:119-126
Editor’s notes: This article proposes a robust calculation method for the identification of anomalies in IC manufacturing test data while eliminating the need of large storage of raw measurements. — Said Hamdioui, Delft University of Technology
Publikováno v:
PLoS ONE, Vol 8, Iss 8, p e71680 (2013)
Biclustering has emerged as an important approach to the analysis of large-scale datasets. A biclustering technique identifies a subset of rows that exhibit similar patterns on a subset of columns in a data matrix. Many biclustering methods have been
Externí odkaz:
https://doaj.org/article/54a10acabfa7461e8cfccd95dd220bf7
Autor:
Hai-Gwo Hwu, Mi-Hua Tao, Yin-Jing Tien, Han-Ming Wu, Wen-chang Lin, Chun-Houh Chen, Meng-Ru Ho
Publikováno v:
Bioinformatics. 34:3529-3538
Motivation Heatmap is a popular visualization technique in biology and related fields. In this study, we extend heatmaps within the framework of matrix visualization (MV) by incorporating a covariate adjustment process through the estimation of condi
Autor:
Han-Ming Wu, Chun-Houh Chen, Chuan-Kai Yang, Chiun-How Kao, Junji Nakano, Yin-Jing Tien, Sheau-Hue Shieh
Publikováno v:
Computational Statistics & Data Analysis. 79:14-29
Symbolic data analysis (SDA) has gained popularity over the past few years because of its potential for handling data having a dependent and hierarchical nature. Amongst many methods for analyzing symbolic data, exploratory data analysis (EDA: Tukey,
Autor:
Yin-Jing Tien1 gary@stat.sinica.edu.tw, Yun-Shien Lee2,3 bojack@mcu.edu.tw, Han-Ming Wu4 hmwu@mail.tku.edu.tw, Chun-Houh Chen5 cchen@stat.sinica.edu.tw
Publikováno v:
BMC Bioinformatics. 2008, Vol. 9, Special section p1-16. 16p. 5 Diagrams, 3 Charts, 2 Graphs.
Autor:
Yen-Nan Chiu, Tzung-Jeng Hwang, Ming H. Hsieh, Yin-Jing Tien, Hai-Gwo Hwu, Chih-Min Liu, Yi-Ling Chien, Chun-Houh Chen, Chen-Chung Liu
Publikováno v:
Schizophrenia Research. 143:32-37
Background Several self-report instruments were developed to capture psychotic prodrome, and were claimed to have good predictive validity. The feasibility of screening is questionable considering the heterogeneity of the targeted populations and the
Autor:
Chia-Hao Huang, Sen-Yung Hsieh, Ming-Chin Yu, Ta-Sen Yeh, Yun-Shien Lee, Yin-Jing Tien, Chih-Jen Wen, Tsung-Chieh Shih, Tzu-Chen Yen
Publikováno v:
Journal of Hepatology. 57:584-591
Background & Aims Unusual hypervascularity is a hallmark of human hepatocellular carcinoma (HCC). Although microRNA-214 (miR-214) is upregulated in other human cancers, it is downregulated in HCC. We elucidated the biological and clinical significanc
Publikováno v:
Computational Statistics & Data Analysis. 54:767-778
GAP is a Java-designed exploratory data analysis (EDA) software for matrix visualization (MV) and clustering of high-dimensional data sets. It provides direct visual perception for exploring structures of a given data matrix and its corresponding pro