Corrigendum: Seven Glycolysis-Related Genes Predict the Prognosis of Patients With Pancreatic Cancer by Han Nie, Cancan Luo, Kaili Liao, Jiasheng Xu, Xue-Xin Cheng, Xiaozhong Wang

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Lysosome-related genes predict acute myeloid leukemia prognosis and response to immunotherapy by Peng Wan, Liang Zhong, Lihua Yu, Chenlan Shen, Xin Shao, Shuyu Chen, Ziwei Zhou, Meng Wang, Hongyan Zhang, Beizhong Liu, Beizhong Liu

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Four circadian rhythm-related genes predict incidence and prognosis in hepatocellular carcinoma by Zhenyu Wu, Hao Hu, Qiang Zhang, Tengfei Wang, Huixing Li, Yugang Qin, Xiangnan Ai, Wen Yi, Xiaojun Wei, Wei Gao, Caiguo Ouyang

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Prognostic comparative genes predict targets for sorafenib combination therapies in hepatocellular carcinoma by Chun-Ming Ho, Kuen-Tyng Lin, Roger Shen, De-Leung Gu, Szu-Shuo Lee, Wen-Hui Su, Yuh-Shan Jou

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Exploring the genetic basis of variation in gene predictions with a synthetic association study. by Tera C Levin, Andrew M Glazer, Lior Pachter, Rachel B Brem, Michael B Eisen

“…We expect that many of the SNPs that affect computational gene structure reflect a biologically unrealistic sensitivity of the gene prediction algorithm to sequence changes, and we propose that genome annotation algorithms could be improved by minimizing their sensitivity to natural polymorphisms. …”
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An improved non−comparative classification method for human microRNA gene prediction by Batuwita, R, Palade, V

An improved non−comparative classification method for human microRNA gene prediction by Palade, R

Bioinformatics methods for identifying candidate disease genes by van Driel Marc A, Brunner Han G

Subjects: “…candidate disease gene prediction…”
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geneRFinder: gene finding in distinct metagenomic data complexities by Raíssa Silva, Kleber Padovani, Fabiana Góes, Ronnie Alves

Subjects: “…Gene prediction…”
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Neutrophil-related genes predict prognosis and response to immune checkpoint inhibitors in bladder cancer by Rui Yang, Wengang Zhang, Xiaoling Shang, Hang Chen, Xin Mu, Yuqing Zhang, Qi Zheng, Xiuwen Wang, Yanguo Liu

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MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes by Yang Yi-Fan, Hu Gang-Qing, Zhu Huaiqiu, Wang Jin, She Zhen-Su

“…</p> <p>Conclusion</p> <p>Results of extensive tests show that MED 2.0 achieves a competitive high performance in the gene prediction for both 5' and 3' end matches, compared to the current best prokaryotic gene finders. …”
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Downregulation of hsa-miR-4328 and target gene prediction in Acute Promyelocytic Leukemia by Lupu Onda T., Popescu Bogdan, Avram Elena, Dragomir Mihaela, Cimponeriu Gheorghe Dănuț, Mighiu Ioana, Aposteanu Silvia, Coriu Daniel

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Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors by Shuai Jiang, Shuai Geng, Xinyu Luo, Can Zhang, Yang Yu, Mengfei Cheng, Shuo Zhang, Ning Shi, Mei Dong

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A Signature of Three Apoptosis-Related Genes Predicts Overall Survival in Breast Cancer by Rongyang Zou, Wanjun Zhao, Shuguang Xiao, Yaxing Lu

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An 8-gene predicting survival model of hepatocellular carcinoma (HCC) related to pyroptosis and cuproptosis by Hongjin Wang, Nian Wang, Ze Tang, Qiuyu Liu, Shiyu Nie, Wu Tao

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Variation of the human mu-opioid receptor (OPRM1) gene predicts vulnerability to frustration by Alan M. Daniel, Brenda G. Rushing, Karla Y. Tapia Menchaca

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Expression of overall survival-EMT-immune cell infiltration genes predict the prognosis of glioma by Lei Zheng, Jin-jing He, Kai-xiang Zhao, Ya-fei Pan, Wei-xian Liu

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A Generative Adversarial Network Model for Disease Gene Prediction With RNA-seq Data by Xue Jiang, Jingjing Zhao, Wei Qian, Weichen Song, Guan Ning Lin

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The signature of cuproptosis-related immune genes predicts the tumor microenvironment and prognosis of prostate adenocarcinoma by Kai Yao, Rumeng Zhang, Liang Li, Mingdong Liu, Shiyao Feng, Haixin Yan, Zhihui Zhang, Dongdong Xie, Dongdong Xie

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cDNA sequences reveal considerable gene prediction inaccuracy in the <it>Plasmodium falciparum </it>genome by Valenzuela Jesus G, Mu Jianbing, Ding Jinhui, Jiang Hongying, Lu Fangli, Ribeiro José MC, Su Xin-zhuan

“…Designing and application of these genome-wide assays, however, requires accurate information on gene prediction and genome annotation. Unfortunately, the genes in the parasite genome databases were mostly identified using computer software that could make some erroneous predictions.…”
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