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Xiaoqi Zheng
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2020 – today
- 2024
- [j24]Xiaoqi Zheng, Jia Lu:
Embedding enhancement with foreground feature alignment and primitive knowledge for few-shot learning. Eng. Appl. Artif. Intell. 135: 108823 (2024) - [j23]Naiqian Zhang
, Fubin Ma
A novel hypergraph model for identifying and prioritizing personalized drivers in cancer. PLoS Comput. Biol. 20(4): 1012068 (2024) - 2023
- [j22]Tao Wu, Yao Dai, Yue Xu, Jie Zheng, Shuting Chen, Yinuo Zhang, Peng Tian, Xiaoqi Zheng, Haiyun Wang:
ExosomePurity: tumour purity deconvolution in serum exosomes based on miRNA signatures. Briefings Bioinform. 24(3) (2023) - [j21]Siqi Gao, Hanwen Zhu, Kangwen Cai, Leiqin Liu, Zhiqiang Zhang, Yi Ding, Yaochen Xu, Xiaoqi Zheng, Jiantao Shi
TRAmHap: accurate prediction of transcriptional activity from DNA methylation haplotypes in bisulfite-sequencing data. Briefings Bioinform. 24(4) (2023) - [j20]Yifan Yang
E-value: a superior alternative to P-value and its adjustments in DNA methylation studies. Briefings Bioinform. 24(4) (2023) - 2022
- [j19]Yi Ding, Kangwen Cai, Leiqin Liu, Zhiqiang Zhang, Xiaoqi Zheng, Jiantao Shi
mHapTk: a comprehensive toolkit for the analysis of DNA methylation haplotypes. Bioinform. 38(22): 5141-5143 (2022) - [j18]Chenye Wang
DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph. BMC Bioinform. 23(1): 277 (2022) - [j17]Nana Wei, Yating Nie, Lin Liu
Secuer: Ultrafast, scalable and accurate clustering of single-cell RNA-seq data. PLoS Comput. Biol. 18(12): 1010753 (2022) - [c2]Nana Wei, Yijing Zhu, Yating Nie, Shiyu Fan, Yuanchen Sun, Xiaoqi Zheng:
Purification of tumor methylomes through residual decomposition. BIBM 2022: 136-141 - 2021
- [j16]Zhiqiang Zhang, Yuhao Dan, Yaochen Xu, Jiarui Zhang, Xiaoqi Zheng, Jiantao Shi
The DNA methylation haplotype (mHap) format and mHapTools. Bioinform. 37(24): 4892-4894 (2021) - [j15]Xiaoqi Zheng, Yingfan Tao, Ruikai Zhang, Wenming Yang, Qingmin Liao:
TimNet: A text-image matching network integrating multi-stage feature extraction with multi-scale metrics. Neurocomputing 465: 540-548 (2021) - 2020
- [j14]Tianlei Xu
A comprehensive review of computational prediction of genome-wide features. Briefings Bioinform. 21(1): 120-134 (2020) - [j13]Weiwei Zhang, Ziyi Li
Detection of differentially methylated CpG sites between tumor samples with uneven tumor purities. Bioinform. 36(7): 2017-2024 (2020) - [j12]Yufang Qin, Weiwei Zhang, Xiaoqiang Sun, Siwei Nan, Nana Wei
Deconvolution of heterogeneous tumor samples using partial reference signals. PLoS Comput. Biol. 16(11) (2020)
2010 – 2019
- 2019
- [j11]Dong Wei, Chuanying Liu, Xiaoqi Zheng, Yushuang Li
Comprehensive anticancer drug response prediction based on a simple cell line-drug complex network model. BMC Bioinform. 20(1): 44:1-44:15 (2019) - 2018
- [j10]Haixia Dou, Yun Fang, Xiaoqi Zheng:
Universal informative CpG sites for inferring tumor purity from DNA methylation microarray data. J. Bioinform. Comput. Biol. 16(3): 1750030:1-1750030:12 (2018) - [c1]Qiudi Zhao, Xiaoqi Zheng, Siqi Zhou:
Exploration on education model of international engineering competencies for undergraduate students through Project-Based Learning: A case study from China. ICEED 2018: 10-14 - 2017
- [j9]Weiwei Zhang, Hao Feng, Hao Wu
Accounting for tumor purity improves cancer subtype classification from DNA methylation data. Bioinform. 33(17): 2651-2657 (2017) - [j8]Liqi Li, Qifa Luo, Weidong Xiao, Jinhui Li, Shiwen Zhou, Yongsheng Li
A machine-learning approach for predicting palmitoylation sites from integrated sequence-based features. J. Bioinform. Comput. Biol. 15(1): 1650025:1-1650025:18 (2017) - 2015
- [j7]Naiqian Zhang, Hua-Jun Wu, Weiwei Zhang, Jun Wang, Hao Wu
Predicting tumor purity from methylation microarray data. Bioinform. 31(21): 3401-3405 (2015) - [j6]Naiqian Zhang, Haiyun Wang
Predicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network Model. PLoS Comput. Biol. 11(9) (2015) - 2014
- [j5]Liqi Li, Sanjiu Yu, Weidong Xiao, Yongsheng Li
Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM. BMC Bioinform. 15: 340 (2014) - [j4]Xiaoqing Yu, Hongyun Gao, Xiaoqi Zheng, Chun Li, Jun Wang:
A computational method of predicting regulatory interactions in Arabidopsis based on gene expression data and sequence information. Comput. Biol. Chem. 51: 36-41 (2014) - 2013
- [j3]Jie Zhu, Yufang Qin, Taigang Liu, Jun Wang, Xiaoqi Zheng:
Prioritization of candidate disease genes by topological similarity between disease and protein diffusion profiles. BMC Bioinform. 14(S-5): S5 (2013) - 2011
- [j2]Chun Li, Hong Ma, Yang Zhou, Xiaolei Wang, Xiaoqi Zheng:
Similarity analysis of DNA sequences based on the weighted pseudo-entropy. J. Comput. Chem. 32(4): 675-680 (2011) - 2010
- [j1]Xiaoqi Zheng, Chun Li, Jun Wang:
An information-theoretic approach to the prediction of protein structural class. J. Comput. Chem. 31(6): 1201-1206 (2010)
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