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Cited by in CrossRef
For: Chang YT, Yao CT, Su SL, Chou YC, Chu CM, Huang CS, Terng HJ, Chou HL, Wetter T, Chen KH, Chang CW, Shih YW, Lai CH. Verification of gene expression profiles for colorectal cancer using 12 internet public microarray datasets. World J Gastroenterol 2014; 20(46): 17476-17482 [PMID: 25516661 DOI: 10.3748/wjg.v20.i46.17476]
URL: https://www.wjgnet.com/1007-9327/full/v20/i46/17476.htm
Number Citing Articles
1
Satya Eswari J., Neha Chandrakar. Artificial neural networks as classification and diagnostic tools for lymph node-negative breast cancersKorean Journal of Chemical Engineering 2016; 33(4): 1318 doi: 10.1007/s11814-015-0255-z
2
Wei-Chuan Shangkuan, Hung-Che Lin, Yu-Tien Chang, Chen-En Jian, Hueng-Chuen Fan, Kang-Hua Chen, Ya-Fang Liu, Huan-Ming Hsu, Hsiu-Ling Chou, Chung-Tay Yao, Chi-Ming Chu, Sui-Lung Su, Chi-Wen Chang. Risk analysis of colorectal cancer incidence by gene expression analysisPeerJ 2017; 5: e3003 doi: 10.7717/peerj.3003
3
Eneko Villanueva, Pilar Navarro, Maria Rovira-Rigau, Annarita Sibilio, Raúl Méndez, Cristina Fillat. Translational reprogramming in tumour cells can generate oncoselectivity in viral therapiesNature Communications 2017; 8(1) doi: 10.1038/ncomms14833
4
Nima Mohseni, Majid Ghaniee Zarich, Saeid Afshar, Manouchehr Hosseini. Identification of Novel Biomarkers for Response to Preoperative Chemoradiation in Locally Advanced Rectal Cancer with Genetic Algorithm–Based Gene SelectionJournal of Gastrointestinal Cancer 2023; 54(3): 937 doi: 10.1007/s12029-022-00873-5
5
Liu Yang, Pingan Lu, Xiaohui Yang, Kaiguo Li, Song Qu. Annexin A3, a Calcium-Dependent Phospholipid-Binding Protein: Implication in CancerFrontiers in Molecular Biosciences 2021; 8 doi: 10.3389/fmolb.2021.716415
6
Md. Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M.W. Quinn, Fazlul Huq, Mohammad Ali Moni. Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortalityJournal of Biomedical Informatics 2019; 100: 103313 doi: 10.1016/j.jbi.2019.103313
7
Shicai Liu, Hailin Tang, Hongde Liu, Jinke Wang. Multi-label Learning for the Diagnosis of Cancer and Identification of Novel Biomarkers with High-throughput OmicsCurrent Bioinformatics 2021; 16(2): 261 doi: 10.2174/1574893615999200623130416
8
K. Nirmalakumari, Harikumar Rajaguru. Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classificationInternational Journal of Imaging Systems and Technology 2021; 31(3): 1595 doi: 10.1002/ima.22586
9
In Ja Park, Yun Suk Yu, Bilal Mustafa, Jin Young Park, Yong Bae Seo, Gun-Do Kim, Jinpyo Kim, Chang Min Kim, Hyun Deok Noh, Seung-Mo Hong, Yeon Wook Kim, Mi-Ju Kim, Adnan Ahmad Ansari, Luigi Buonaguro, Sung-Min Ahn, Chang-Sik Yu. A Nine-Gene Signature for Predicting the Response to Preoperative Chemoradiotherapy in Patients with Locally Advanced Rectal CancerCancers 2020; 12(4): 800 doi: 10.3390/cancers12040800
10
Robert F. Harvey, Tom S. Smith, Thomas Mulroney, Rayner M. L. Queiroz, Mariavittoria Pizzinga, Veronica Dezi, Eneko Villenueva, Manasa Ramakrishna, Kathryn S. Lilley, Anne E. Willis. Trans‐acting translational regulatory RNA binding proteinsWIREs RNA 2018; 9(3) doi: 10.1002/wrna.1465
11
Nguyen Long, Seongoh Park, Nguyen Anh, Tran Nghi, Sang Yoon, Jeong Park, Johan Lim, Sung Kwon. High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal CancerInternational Journal of Molecular Sciences 2019; 20(2): 296 doi: 10.3390/ijms20020296
12
Xiangwen Zhang, Jiaming Xue, Huiliang Yang, Tingting Zhou, Guo Zu. TNFAIP6 promotes invasion and metastasis of gastric cancer and indicates poor prognosis of patientsTissue and Cell 2021; 68: 101455 doi: 10.1016/j.tice.2020.101455
13
Hongquan Cui, Ling Zhang, Bin Chen, Fengchun Zhang, Haiyan Xu, Guixiang Ma, Longnv Cao, Miao Wang, Yuvaraja Teekaraman. TNFAIP6 Promotes Gastric Carcinoma Cell Invasion via Upregulating PTX3 and Activating the Wnt/β-Catenin Signaling PathwayContrast Media & Molecular Imaging 2022; 2022: 1 doi: 10.1155/2022/5697034
14
Yuan Yin, Mingxu Song, Bing Gu, Xiaowei Qi, Yaling Hu, Yuyang Feng, Heyong Liu, Leyuan Zhou, Zehua Bian, Jiwei Zhang, Xianbo Zuo, Zhaohui Huang. Systematic analysis of key miRNAs and related signaling pathways in colorectal tumorigenesisGene 2016; 578(2): 177 doi: 10.1016/j.gene.2015.12.015
15
Fahimeh Fattahi, Jafar Kiani, Mohsen Khosravi, Somayeh Vafaei, Asghar Mohammadi, Zahra Madjd, Mohammad Najafi. Enrichment of Up-regulated and Down-regulated Gene Clusters Using Gene Ontology, miRNAs and lncRNAs in Colorectal CancerCombinatorial Chemistry & High Throughput Screening 2019; 22(8): 534 doi: 10.2174/1386207321666191010114149
16
Hong Li, Yinjie Zhu, Xiaoyan Tang, Junyi Li, Yuanyuan Li, Zhaomin Zhong, Guohui Ding, Yixue Li, Yu-Jia Chang. Integrated Analysis of Transcriptome in Cancer Patient-Derived XenograftsPLOS ONE 2015; 10(5): e0124780 doi: 10.1371/journal.pone.0124780