Haiyan Wang - RankMe

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Different thresholding methods on Nearest Shrunken Centroid algorithm. CoRR Mohammad Omar Sahtout, Haiyan Wang, Santosh Ghimire
2024	J	`jnl`	Different thresholding methods on Nearest Shrunken Centroid algorithm. Commun. Stat. Simul. Comput. Mohammad Omar Sahtout, Haiyan Wang, Santosh Ghimire
2021	J	`jnl`	A Nonparametric Lack-of-Fit Test of Constant Regression in the Presence of Heteroscedastic Variances. Symmetry Mohammed M. Gharaibeh, Mohammad Omar Sahtout, Haiyan Wang, Suojin Wang
2021	J	`jnl`	A more powerful test of equality of high-dimensional two-sample means. Comput. Stat. Data Anal. Huaiyu Zhang, Haiyan Wang
2020	J	`jnl`	A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data. Stat. Anal. Data Min. Luann C. Jung, Haiyan Wang, Xukun Li, Cen Wu
2020	J	`jnl`	Interactions of Linguistic and Domain Overhypotheses in Category Learning. CoRR Luann C. Jung, Haiyan Wang
2015	J	`jnl`	Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection. Medical Biol. Eng. Comput. Yuan Chen, Wei Zhou, Haiyan Wang, Zheming Yuan
2012	J	`jnl`	Classification of image pixels based on minimum distance and hypothesis testing. Comput. Stat. Data Anal. Santosh Ghimire, Haiyan Wang
2012	J	`jnl`	Improving accuracy for cancer classification with a new algorithm for genes selection. BMC Bioinform. Hongyan Zhang, Haiyan Wang, Zhijun Dai, Ming-shun Chen, Zheming Yuan
2011	J	`jnl`	Gene set analysis for longitudinal gene expression data. BMC Bioinform. Ke Zhang, Haiyan Wang, Arne C. Bathke, Solomon W. Harrar, Hans-Peter Piepho, Youping Deng
2010	J	`jnl`	Rank test for heteroscedastic functional data. J. Multivar. Anal. Haiyan Wang, Michael G. Akritas
2010	J	`jnl`	Series of randomized complete block experiments with non-normal data. Comput. Stat. Data Anal. Arne C. Bathke, Solomon W. Harrar, Haiyan Wang, Ke Zhang, Hans-Peter Piepho
2009	J	`jnl`	Partition clustering of high dimensional low sample size data based on p-values. Comput. Stat. Data Anal. George von Borries, Haiyan Wang