Robustly detecting differential expression in RNA sequencing data using observation weights von Zhou, Xiaobei, Lindsay, Helen, Robinson, Mark D

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Biclustering high-frequency MeSH terms based on the co-occurrence of distinct semantic types in a MeSH tree von Fang, Li, Zhou, Xiaobei, Cui, Lei

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Pixel embedding for grayscale medical image classification von Liu, Wensu, Lv, Na, Wan, Jing, Wang, Lu, Zhou, Xiaobei

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Statistical methods for detecting differentially methylated loci and regions von Robinson, Mark D, Kahraman, Abdullah, Law, Charity W, Lindsay, Helen, Nowicka, Malgorzata, Weber, Lukas M, Zhou, Xiaobei

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Common Features of Regulatory T Cell Specialization During Th1 Responses von Littringer, Katharina, Moresi, Claudia, Rakebrandt, Nikolas, Zhou, Xiaobei, Schorer, Michelle, Dolowschiak, Tamas, Kirchner, Florian, Rost, Felix, Keller, Christian W, McHugh, Donal, LeibundGut-Landmann, Salomé, Robinson, Mark D, Joller, Nicole

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Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review von Zhou, Xiaobei, Chen, Lei, Liu, Hui-Xin

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A probabilistic model for co-occurrence analysis in bibliometrics von Zhou, Xiaobei, Zhou, Miao, Huang, Desheng, Cui, Lei

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Tectonic Units Division of Crystalline Basement in the Tarim Basin, NW China von ZHOU, Xiaobei, LI, Jianghai, LI, Wenshan, CHENG, Yalin, WANG, Honghao

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Do count-based differential expression methods perform poorly when genes are expressed in only one condition? von Zhou, Xiaobei, Robinson, Mark D

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Robustly detecting differential expression in RNA sequencing data using observation weights von Zhou, Xiaobei, Lindsay, Helen, Robinson, Mark D

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miRNA-Seq normalization comparisons need improvement von Zhou, Xiaobei, Oshlack, Alicia, Robinson, Mark D

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Obesity contagion among classmates: Children's relation with each other regarding weight status, physical activity, and dietary intake von Liu, Yang, Zhou, Xiaobei, Ding, Ning, Song, Shenzhi, Gittelsohn, Joel, Jiang, Nan, Sundermeir, Samantha M., Ma, Yanan, Wen, Deliang

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miRNA-Seq normalization comparisons need improvement von Zhou, Xiaobei, Oshlack, Alicia, Robinson, Mark D

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Improving statistical methods for RNA sequencing data: outliers, boundary conditions, benchmarking and differential transcript expression von Zhou, Xiaobei

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Common features of regulatory T cell specialization during Th1 responses von Littringer, Katharina, Moresi, Claudia, Rakebrandt, Nikolas, Zhou, Xiaobei, Schorer, Michelle, Dolowschiak, Tamas, Kirchner, Florian, Rost, Felix, Keller, Christian W, McHugh, Donal, LeibundGut-Landmann, Salomé, Robinson, Mark D, Joller, Nicole

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Application of Water Pump Proportionality Law to Heating and Air Conditioning Systems von Zhou, Xiao Bei, Fu, Yong Zheng, Zhou, Hong Dan

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Statistical methods for detecting differentially methylated loci and regions von Robinson, Mark D, Kahraman, Abdullah, Law, Charity W, Lindsay, Helen, Nowicka, Malgorzata, Weber, Lukas M, Zhou, Xiaobei

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Do count-based differential expression methods perform poorly when genes are expressed in only one condition? von Zhou, Xiaobei, Robinson, Mark D

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Additional file 2 of Do count-based differential expression methods perform poorly when genes are expressed in only one condition? von Xiaobei Zhou, Robinson, Mark

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Additional file 1 of Do count-based differential expression methods perform poorly when genes are expressed in only one condition? von Xiaobei Zhou, Robinson, Mark

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