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Xiaojian Shao

Showing results (1-10 of 70) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|March 7, 2018
Predicting Gene Expression Noise from Gene Expression VariationsXiaojian Shao, Ming-An Sun
Bioinformatics (Oxford, England)|November 16, 2010
Differential effects of chromatin regulators and transcription factors on gene regulation: a nucleosomal perspectiveDong Dong, Xiaojian Shao, Zhaolei Zhang
Gene|February 23, 2016
Inferring the determinants of protein evolutionary rates in mammalsYang Zou, Xiaojian Shao, Dong Dong
Methods in Molecular Biology (Clifton, N.J.)|March 7, 2018
Microarray Data Analysis for Transcriptome ProfilingMing-An Sun, Xiaojian Shao, Yejun Wang
Nucleic Acids Research|September 24, 2010
Gene expression variations are predictive for stochastic noiseDong Dong, Xiaojian Shao, Naiyang Deng, et al.
Briefings in Functional Genomics|April 24, 2016
Comparative DNA methylation analysis to decipher common and cell type-specific patterns among multiple cell typesXiaofei Yang, Xiaojian Shao, Lin Gao, et al.
Briefings in Bioinformatics|September 1, 2025
scSorterDL: a deep neural network-enhanced ensemble LDAs for single cell classificationsKailun Bai, Belaid Moa, Xiaojian Shao, et al.
Bioinformatics Advances|January 6, 2025
Predicting CRISPR-Cas9 off-target effects in human primary cells using bidirectional LSTM with BERT embeddingOrhan Sari, Ziying Liu, Youlian Pan, et al.
Computational and Structural Biotechnology Journal|August 8, 2025
PCLDA: An interpretable cell annotation tool for single-cell RNA-sequencing data based on simple statistical methodsKailun Bai, Belaid Moa, Xiaojian Shao, et al.
Human Molecular Genetics|May 9, 2015
Systematic DNA methylation analysis of multiple cell lines reveals common and specific patterns within and across tissues of originXiaofei Yang, Xiaojian Shao, Lin Gao, et al.
Pageof 7

Showing results (1-10 of 70) with videos related to

Sort By:
Pageof 7
Methods in Molecular Biology (Clifton, N.J.)|March 7, 2018
Predicting Gene Expression Noise from Gene Expression VariationsXiaojian Shao, Ming-An Sun
Bioinformatics (Oxford, England)|November 16, 2010
Differential effects of chromatin regulators and transcription factors on gene regulation: a nucleosomal perspectiveDong Dong, Xiaojian Shao, Zhaolei Zhang
Gene|February 23, 2016
Inferring the determinants of protein evolutionary rates in mammalsYang Zou, Xiaojian Shao, Dong Dong
Methods in Molecular Biology (Clifton, N.J.)|March 7, 2018
Microarray Data Analysis for Transcriptome ProfilingMing-An Sun, Xiaojian Shao, Yejun Wang
Nucleic Acids Research|September 24, 2010
Gene expression variations are predictive for stochastic noiseDong Dong, Xiaojian Shao, Naiyang Deng, et al.
Briefings in Functional Genomics|April 24, 2016
Comparative DNA methylation analysis to decipher common and cell type-specific patterns among multiple cell typesXiaofei Yang, Xiaojian Shao, Lin Gao, et al.
Briefings in Bioinformatics|September 1, 2025
scSorterDL: a deep neural network-enhanced ensemble LDAs for single cell classificationsKailun Bai, Belaid Moa, Xiaojian Shao, et al.
Bioinformatics Advances|January 6, 2025
Predicting CRISPR-Cas9 off-target effects in human primary cells using bidirectional LSTM with BERT embeddingOrhan Sari, Ziying Liu, Youlian Pan, et al.
Computational and Structural Biotechnology Journal|August 8, 2025
PCLDA: An interpretable cell annotation tool for single-cell RNA-sequencing data based on simple statistical methodsKailun Bai, Belaid Moa, Xiaojian Shao, et al.
Human Molecular Genetics|May 9, 2015
Systematic DNA methylation analysis of multiple cell lines reveals common and specific patterns within and across tissues of originXiaofei Yang, Xiaojian Shao, Lin Gao, et al.
Pageof 7