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ORCIDXinlei Wang 0001
Person information
- affiliation: Southern Methodist University, Computer Science & Engineering Department, Dallas, TX, USA
Other persons with the same name
- Xinlei Wang — disambiguation page
- Xinlei (Oscar) Wang (aka: Xinlei Wang 0002) — University of California, Davis, Department of Computer Science, CA, USA
- Xinlei Wang 0003 — IKEDA Technology Inc., Hamamatsu, Japan
- Xinlei Wang 0004 — Tianjin University, School of Electronic Information Engineering, China
- Xinlei Wang 0005
![[0000-0003-2765-6547]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2765-6547")
— Jilin University, School of Computer Science and Technology, Changchun, China
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Journal Articles
- 2025
[j22]Yashi Bu, Min Chen, Zhenyu Xuan, Xinlei Wang:
A Bayesian Model for Paired Data in Genome-Wide Association Studies with Application to Breast Cancer. Entropy 27(10): 1077 (2025)- 2024
- [j21]Zeyu Lu, Xue Xiao, Qiang Zheng, Xinlei Wang, Lin Xu:
Assessing next-generation sequencing-based computational methods for predicting transcriptional regulators with query gene sets. Briefings Bioinform. 25(5) (2024) - 2023
- [j20]Yichen Cheng, Yusen Xia, Xinlei Wang:
Bayesian multitask learning for medicine recommendation based on online patient reviews. Bioinform. 39(8) (2023) - [j19]Guanshen Wang, Yichen Cheng, Yusen Xia, Qiang Ling, Xinlei Wang:
A Bayesian Semisupervised Approach to Keyword Extraction with Only Positive and Unlabeled Data. INFORMS J. Comput. 35(3): 675-691 (2023) - 2022
- [j18]Younghoon Kim, Tao Wang, Danyi Xiong, Xinlei Wang, Seongoh Park:
Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences. BMC Bioinform. 23(1): 469 (2022) - [j17]Ze Zhang, Woo Yong Chang, Kaiwen Wang, Yuqiu Yang, Xinlei Wang, Chen Yao, Tuoqi Wu, Li Wang, Tao Wang:
Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse. Nat. Mach. Intell. 4(6): 596-604 (2022) - 2021
- [j16]Yichen Cheng, Xinlei Wang, Yusen Xia:
Supervised t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification. INFORMS J. Comput. 33(2): 566-585 (2021) - 2020
- [j15]Shen Yin, Xinlei Wang, Gaoxiang Jia, Yang Xie:
MIXnorm: normalizing RNA-seq data from formalin-fixed paraffin-embedded samples. Bioinform. 36(11): 3401-3408 (2020) - 2019
- [j14]Xue Li, Xinlei Wang, Guanghua Xiao:
A comparative study of rank aggregation methods for partial and top ranked lists in genomic applications. Briefings Bioinform. 20(1): 178-189 (2019) - [j13]Seongoh Park, Johan Lim, Xinlei Wang, Sanghan Lee:
Permutation based testing on covariance separability. Comput. Stat. 34(2): 865-883 (2019) - [j12]Feng Wang, Hongyu Zhou, Xinlei Wang, Peng Tao:
Dynamical Behavior of β-Lactamases and Penicillin- Binding Proteins in Different Functional States and Its Potential Role in Evolution. Entropy 21(11): 1130 (2019) - 2018
- [j11]Ehsan Zamanzade, Xinlei Wang:
Proportion estimation in ranked set sampling in the presence of tie information. Comput. Stat. 33(3): 1349-1366 (2018) - 2017
- [j10]Donghyeon Yu, Johan Lim, Xinlei Wang, Faming Liang, Guanghua Xiao:
Enhanced construction of gene regulatory networks using hub gene information. BMC Bioinform. 18(1): 186:1-186:20 (2017) - [j9]Ehsan Zamanzade, Xinlei Wang:
Estimation of population proportion for judgment post-stratification. Comput. Stat. Data Anal. 112: 257-269 (2017) - 2016
- [j8]Sunho Park, Seung-Jun Kim, Donghyeon Yu, Samuel Peña-Llopis, Jianjiong Gao, Jinsuk Park, Beibei Chen, Jessie Norris, Xinlei Wang, Min Chen, Min-Su Kim, Jeongsik Yong, Zabi Wardak, Kevin Choe, Michael Story, Timothy K. Starr, Jae-Ho Cheong, TaeHyun Hwang:
An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. Bioinform. 32(11): 1643-1651 (2016) - 2015
- [j7]Xinlei Wang, Johan Lim, Seung-Jean Kim, Kyu S. Hahn:
Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications. Comput. Stat. 30(1): 107-129 (2015) - 2013
- [j6]Min Chen, Miao Zang, Xinlei Wang, Guanghua Xiao:
A powerful Bayesian meta-analysis method to integrate multiple gene set enrichment studies. Bioinform. 29(7): 862-869 (2013) - 2011
- [j5]Min Chen, Xinlei Wang:
Approximate predictive densities and their applications in generalized linear models. Comput. Stat. Data Anal. 55(4): 1570-1580 (2011) - 2010
- [j4]Min Chen, Yusen Xia, Xinlei Wang:
Managing Supply Uncertainties Through Bayesian Information Update. IEEE Trans Autom. Sci. Eng. 7(1): 24-36 (2010) - 2009
- [j3]Yang Xie, Xinlei Wang, Michael Story:
Statistical methods of background correction for Illumina BeadArray data. Bioinform. 25(6): 751-757 (2009) - [j2]Johan Lim, Xinlei Wang, Wanseok Choi:
Maximum likelihood estimation of ordered multinomial probabilities by geometric programming. Comput. Stat. Data Anal. 53(4): 889-893 (2009) - 2007
- [j1]Johan Lim, Xinlei Wang, Michael Sherman:
An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model. Comput. Stat. Data Anal. 51(8): 3679-3688 (2007)
Conference and Workshop Papers
- 2009
- [c4]Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Nair:
Distributed Phishing Detection by Applying Variable Selection Using Bayesian Additive Regression Trees. ICC 2009: 1-5 - 2008
- [c3]Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Nair:
Bayesian Additive Regression Trees-Based Spam Detection for Enhanced Email Privacy. ARES 2008: 1044-1051 - [c2]Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Nair:
A distributed architecture for phishing detection using Bayesian Additive Regression Trees. eCrime 2008: 1-10 - 2007
- [c1]Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Nair:
A comparison of machine learning techniques for phishing detection. eCrime Researchers Summit 2007: 60-69
Data and Artifacts
- 2023
- [d1]Yuqiu Yang, Kaiwen Wang, Zeyu Lu, Tao Wang, Xinlei Wang:
Cytomulate: accurate and efficient simulation of cytof data. Zenodo, 2023
Informal and Other Publications
- 2022
- [i1]Younghoon Kim, Tao Wang, Danyi Xiong, Xinlei Wang, Seongoh Park:
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences. CoRR abs/2208.04524 (2022)
Coauthor Index
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