Single-Cell RNA-Seq Technologies and Related Computational Data Analysis von Chen, Geng, Ning, Baitang, Shi, Tieliu

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Class I histone deacetylases are major histone decrotonylases： evidence for critical and broad function of histone crotonylation in transcription von Wei, Wei, Liu, Xiaoguang, Chen, Jiwei, Gao, Shennan, Lu, Lu, Zhang, Huifang, Ding, Guangjin, Wang, Zhiqiang, Chen, Zhongzhou, Shi, Tieliu, Li, Jiwen, Yu, Jianjun, Wong, Jiemin

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Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis von Ding, Wubin, Chen, Geng, Shi, Tieliu

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Novel loci and potential mechanisms of major depressive disorder, bipolar disorder, and schizophrenia von Wang, He, Yi, Zhenghui, Shi, Tieliu

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Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost von Ji, Xiangjun, Tong, Weida, Liu, Zhichao, Shi, Tieliu

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Identifying and Characterizing the Circular RNAs during the Lifespan of Arabidopsis Leaves von Liu, Tengfei, Zhang, Li, Chen, Geng, Shi, Tieliu

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Characterizing and annotating the genome using RNA-seq data von Chen, Geng, Shi, Tieliu, Shi, Leming

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Gene expression variability across cells and species shapes the relationship between renal resident macrophages and infiltrated macrophages von Ji, Xiangjun, Cai, Junwei, Liang, Lixin, Shi, Tieliu, Liu, Jinghua

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Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology von Deveson, Ira W., Gong, Binsheng, Lai, Kevin, LoCoco, Jennifer S., Richmond, Todd A., Schageman, Jeoffrey, Zhang, Zhihong, Novoradovskaya, Natalia, Willey, James C., Jones, Wendell, Kusko, Rebecca, Chen, Guangchun, Madala, Bindu Swapna, Blackburn, James, Stevanovski, Igor, Bhandari, Ambica, Close, Devin, Conroy, Jeffrey, Hubank, Michael, Marella, Narasimha, Mieczkowski, Piotr A., Qiu, Fujun, Sebra, Robert, Stetson, Daniel, Sun, Lihyun, Szankasi, Philippe, Tan, Haowen, Tang, Lin-ya, Arib, Hanane, Best, Hunter, Burgher, Blake, Bushel, Pierre R., Casey, Fergal, Cawley, Simon, Chang, Chia-Jung, Choi, Jonathan, Dinis, Jorge, Duncan, Daniel, Eterovic, Agda Karina, Feng, Liang, Ghosal, Abhisek, Giorda, Kristina, Glenn, Sean, Happe, Scott, Haseley, Nathan, Horvath, Kyle, Hung, Li-Yuan, Jarosz, Mirna, Kushwaha, Garima, Li, Dan, Li, Quan-Zhen, Li, Zhiguang, Liu, Liang-Chun, Liu, Zhichao, Ma, Charles, Mason, Christopher E., Megherbi, Dalila B., Morrison, Tom, Pabón-Peña, Carlos, Pirooznia, Mehdi, Proszek, Paula Z., Raymond, Amelia, Rindler, Paul, Ringler, Rebecca, Scherer, Andreas, Shaknovich, Rita, Shi, Tieliu, Smith, Melissa, Song, Ping, Strahl, Maya, Thodima, Venkat J., Tom, Nikola, Verma, Suman, Wang, Jiashi, Wu, Leihong, Xiao, Wenzhong, Xu, Chang, Yang, Mary, Zhang, Guangliang, Zhang, Sa, Zhang, Yilin, Shi, Leming, Tong, Weida, Johann, Donald J., Mercer, Timothy R., Xu, Joshua

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A proteomic landscape of diffuse-type gastric cancer von Ge, Sai, Xia, Xia, Ding, Chen, Zhen, Bei, Zhou, Quan, Feng, Jinwen, Yuan, Jiajia, Chen, Rui, Li, Yumei, Ge, Zhongqi, Ji, Jiafu, Zhang, Lianhai, Wang, Jiayuan, Li, Zhongwu, Lai, Yumei, Hu, Ying, Li, Yanyan, Li, Yilin, Gao, Jing, Chen, Lin, Xu, Jianming, Zhang, Chunchao, Jung, Sung Yun, Choi, Jong Min, Jain, Antrix, Liu, Mingwei, Song, Lei, Liu, Wanlin, Guo, Gaigai, Gong, Tongqing, Huang, Yin, Qiu, Yang, Huang, Wenwen, Shi, Tieliu, Zhu, Weimin, Wang, Yi, He, Fuchu, Shen, Lin, Qin, Jun

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Deciphering potential causative factors for undiagnosed Waardenburg syndrome through multi-data integration von Sun, Fengying, Xiao, Minmin, Ji, Dong, Zheng, Feng, Shi, Tieliu

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Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma von Zhang, Li, Lv, Chenkai, Jin, Yaqiong, Cheng, Ganqi, Fu, Yibao, Yuan, Dongsheng, Tao, Yiran, Guo, Yongli, Ni, Xin, Shi, Tieliu

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Systematic expression analysis of ligand-receptor pairs reveals important cell-to-cell interactions inside glioma von Yuan, Dongsheng, Tao, Yiran, Chen, Geng, Shi, Tieliu

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Towards efficiency in rare disease research： what is distinctive and important von Jia, Jinmeng, Shi, Tieliu

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Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes prediction von Ren, Meng, Shi, Jingru, Jia, Jinmeng, Guo, Yongli, Ni, Xin, Shi, Tieliu

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The Challenge and promise of rare disease diagnosis in China von Ni, Xin, Shi, Tieliu

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Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis von Feng, Jinwen, Ding, Chen, Qiu, Naiqi, Ni, Xiaotian, Zhan, Dongdong, Liu, Wanlin, Xia, Xia, Li, Peng, Lu, Bingxin, Zhao, Qi, Nie, Peng, Song, Lei, Zhou, Quan, Lai, Mi, Guo, Gaigai, Zhu, Weimin, Ren, Jian, Shi, Tieliu, Qin, Jun

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TCMID 2.0: a comprehensive resource for TCM von Huang, Lin, Xie, Duoli, Yu, Yiran, Liu, Huanlong, Shi, Yan, Shi, Tieliu, Wen, Chengping

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A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages von Yu, Ying, Fuscoe, James C., Zhao, Chen, Guo, Chao, Jia, Meiwen, Qing, Tao, Bannon, Desmond I., Lancashire, Lee, Bao, Wenjun, Du, Tingting, Luo, Heng, Su, Zhenqiang, Jones, Wendell D., Moland, Carrie L., Branham, William S., Qian, Feng, Ning, Baitang, Li, Yan, Hong, Huixiao, Guo, Lei, Mei, Nan, Shi, Tieliu, Wang, Kevin Y., Wolfinger, Russell D., Nikolsky, Yuri, Walker, Stephen J., Duerksen-Hughes, Penelope, Mason, Christopher E., Tong, Weida, Thierry-Mieg, Jean, Thierry-Mieg, Danielle, Shi, Leming, Wang, Charles

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RDAD: A Machine Learning System to Support Phenotype-Based Rare Disease Diagnosis von Jia, Jinmeng, Wang, Ruiyuan, An, Zhongxin, Guo, Yongli, Ni, Xi, Shi, Tieliu

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