Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Li‐Pang Chen"'
Autor:
Li-Pang Chen, Hsiao-Ting Huang
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Background Survival analysis has been used to characterize the time-to-event data. In medical studies, a typical application is to analyze the survival time of specific cancers by using high-dimensional gene expressions. The main challenges
Externí odkaz:
https://doaj.org/article/601ee151396c48dbb17b59bd91434ccc
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0277878 (2023)
While the impact of the COVID-19 pandemic has been widely studied, relatively fewer discussions about the sentimental reaction of the public are available. In this article, we scrape COVID-19 related tweets on the microblogging platform, Twitter, and
Externí odkaz:
https://doaj.org/article/023d23a22d0142bfa3d43ddd963b7c3f
Autor:
Li-Pang Chen
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
Analysis of gene expression data is an attractive topic in the field of bioinformatics, and a typical application is to classify and predict individuals’ diseases or tumors by treating gene expression values as predictors. A primary challenge of th
Externí odkaz:
https://doaj.org/article/b5514281133846e0a9a25715504658b3
Autor:
Li-Pang Chen
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0276664 (2022)
In gene expression data analysis framework, ultrahigh dimensionality and measurement error are ubiquitous features. Therefore, it is crucial to correct measurement error effects and make variable selection when fitting a regression model. In this pap
Externí odkaz:
https://doaj.org/article/3bde1773ffc848cb884d01dbc56cf94c
Autor:
Li-Pang Chen
Publikováno v:
Journal of Probability and Statistics, Vol 2022 (2022)
In this paper, we introduce the R package NetDA, which aims to deal with multiclassification with network structures in predictors accommodated. To address the natural feature of network structures, we apply Gaussian graphical models to characterize
Externí odkaz:
https://doaj.org/article/198c6cd0761c4f59ad78f61151d2f7b2
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244536 (2021)
BackgroundSince March 11, 2020 when the World Health Organization (WHO) declared the COVID-19 pandemic, the number of infected cases, the number of deaths, and the number of affected countries have climbed rapidly. To understand the impact of COVID-1
Externí odkaz:
https://doaj.org/article/73afd5f43060481c926fba7335eea9e1
SIMEXBoost: An R package for Analysis of High-Dimensional Error-Prone Data Based on Boosting Method.
Autor:
Li-Pang Chen1 lchen723@nccu.edu.tw, Bangxu Qiu1 1135427976@qq.com
Publikováno v:
R Journal. Dec2023, Vol. 15 Issue 4, p5-20. 16p.
Autor:
li-pang chen, 陳立邦
92
The GPS project planning is done by experience person generally. Planner use small or large scale topographic maps to select points、design network and assign surveyors to the observation sites. Without carefully considering exact travel tim
The GPS project planning is done by experience person generally. Planner use small or large scale topographic maps to select points、design network and assign surveyors to the observation sites. Without carefully considering exact travel tim
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/48351712910762649781
Autor:
Li-Pang Chen, 陳立邦
91
When browsing web pages, we usually use Hypertext Markup Language (HTML) to describe the contents of web pages. HTML is the main control to show how to view the text on browsers, it based on the tags. The official syntax of HTML is proposed b
When browsing web pages, we usually use Hypertext Markup Language (HTML) to describe the contents of web pages. HTML is the main control to show how to view the text on browsers, it based on the tags. The official syntax of HTML is proposed b
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/38407488008021100870
Autor:
Li-Pang Chen, Grace Yi
Publikováno v:
Statistica Sinica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aee1ffe20fb4b2616cced8912d2876e
https://doi.org/10.5705/ss.202021.0050
https://doi.org/10.5705/ss.202021.0050