Zobrazeno 1 - 10
of 588
pro vyhledávání: '"Weida Tong"'
Autor:
Binsheng Gong, Samir Lababidi, Rebecca Kusko, Khaled Bouri, Sarah Prezek, Vishal Thovarai, Anish Prasanna, Ezekiel J. Maier, Mahdi Golkaram, Xingqiang Sun, Konstantinos Kyriakidis, João Paulo Kitajima, Sayed Mohammad Ebrahim Sahraeian, Yunfei Guo, Elaine Johanson, Wendell Jones, Weida Tong, Joshua Xu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Accurately calling indels with next-generation sequencing (NGS) data is critical for clinical application. The precisionFDA team collaborated with the U.S. Food and Drug Administration’s (FDA’s) National Center for Toxicological Research
Externí odkaz:
https://doaj.org/article/fa59c4fa44684290a436974c57f268f0
Autor:
Binsheng Gong, Dan Li, Yifan Zhang, Rebecca Kusko, Samir Lababidi, Zehui Cao, Mingyang Chen, Ning Chen, Qiaochu Chen, Qingwang Chen, Jiacheng Dai, Qiang Gan, Yuechen Gao, Mingkun Guo, Gunjan Hariani, Yujie He, Wanwan Hou, He Jiang, Garima Kushwaha, Jian-Liang Li, Jianying Li, Yulan Li, Liang-Chun Liu, Ruimei Liu, Shiming Liu, Edwin Meriaux, Mengqing Mo, Mathew Moore, Tyler J. Moss, Quanne Niu, Ananddeep Patel, Luyao Ren, Nedda F. Saremi, Erfei Shang, Jun Shang, Ping Song, Siqi Sun, Brent J. Urban, Danke Wang, Shangzi Wang, Zhining Wen, Xiangyi Xiong, Jingcheng Yang, Lihui Yin, Chao Zhang, Ruolan Zhang, Ambica Bhandari, Wanshi Cai, Agda Karina Eterovic, Dalila B. Megherbi, Tieliu Shi, Chen Suo, Ying Yu, Yuanting Zheng, Natalia Novoradovskaya, Renee L. Sears, Leming Shi, Wendell Jones, Weida Tong, Joshua Xu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Accurate indel calling plays an important role in precision medicine. A benchmarking indel set is essential for thoroughly evaluating the indel calling performance of bioinformatics pipelines. A reference sample with a set of known-positive
Externí odkaz:
https://doaj.org/article/f6ac02a15b704d26872b588b34da0a59
Autor:
Minjun Chen, Yue Wu, Byron Wingerd, Zhichao Liu, Joshua Xu, Shraddha Thakkar, Thomas J. Pedersen, Tom Donnelly, Nicholas Mann, Weida Tong, Russell D. Wolfinger, Wenjun Bao
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionRegulatory agencies generate a vast amount of textual data in the review process. For example, drug labeling serves as a valuable resource for regulatory agencies, such as U.S. Food and Drug Administration (FDA) and Europe Medical Agency
Externí odkaz:
https://doaj.org/article/a13d69361f034786a1042a23c1a15837
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Animal studies are unavoidable in evaluating chemical and drug safety. Generative Adversarial Networks (GANs) can generate synthetic animal data by learning from the legacy animal study results, thus may serve as an alternative approach to a
Externí odkaz:
https://doaj.org/article/304f45b2b38745ed91f221abe5604b68
Autor:
Luyao Ren, Xiaoke Duan, Lianhua Dong, Rui Zhang, Jingcheng Yang, Yuechen Gao, Rongxue Peng, Wanwan Hou, Yaqing Liu, Jingjing Li, Ying Yu, Naixin Zhang, Jun Shang, Fan Liang, Depeng Wang, Hui Chen, Lele Sun, Lingtong Hao, The Quartet Project Team, Andreas Scherer, Jessica Nordlund, Wenming Xiao, Joshua Xu, Weida Tong, Xin Hu, Peng Jia, Kai Ye, Jinming Li, Li Jin, Huixiao Hong, Jing Wang, Shaohua Fan, Xiang Fang, Yuanting Zheng, Leming Shi
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-31 (2023)
Abstract Background Genomic DNA reference materials are widely recognized as essential for ensuring data quality in omics research. However, relying solely on reference datasets to evaluate the accuracy of variant calling results is incomplete, as th
Externí odkaz:
https://doaj.org/article/d7d0e8a3126440d98263385aaeddd458
Autor:
Jingcheng Yang, Yaqing Liu, Jun Shang, Qiaochu Chen, Qingwang Chen, Luyao Ren, Naixin Zhang, Ying Yu, Zhihui Li, Yueqiang Song, Shengpeng Yang, Andreas Scherer, Weida Tong, Huixiao Hong, Wenming Xiao, Leming Shi, Yuanting Zheng
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract The Quartet Data Portal facilitates community access to well-characterized reference materials, reference datasets, and related resources established based on a family of four individuals with identical twins from the Quartet Project. Users
Externí odkaz:
https://doaj.org/article/5b32de84ccad4a048fa848bb44018d94
Autor:
Ying Yu, Naixin Zhang, Yuanbang Mai, Luyao Ren, Qiaochu Chen, Zehui Cao, Qingwang Chen, Yaqing Liu, Wanwan Hou, Jingcheng Yang, Huixiao Hong, Joshua Xu, Weida Tong, Lianhua Dong, Leming Shi, Xiang Fang, Yuanting Zheng
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-26 (2023)
Abstract Background Batch effects are notoriously common technical variations in multiomics data and may result in misleading outcomes if uncorrected or over-corrected. A plethora of batch-effect correction algorithms are proposed to facilitate data
Externí odkaz:
https://doaj.org/article/12d1f02d68834a36afdf46f129f91b1b
Autor:
Huyen Le, Ru Chen, Stephen Harris, Hong Fang, Beverly Lyn-Cook, Huixiao Hong, Weigong Ge, Paul Rogers, Weida Tong, Wen Zou
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2024)
Numerous studies have been conducted on the US Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS) database to assess post-marketing reporting rates for drug safety review and risk assessment. However, the drug names in the adv
Externí odkaz:
https://doaj.org/article/0455007a31c74a889802c9e365c9328e
Autor:
Dan Li, Zhou Fang, Qiang Shi, Nicholas Zhang, Binsheng Gong, Weida Tong, Ahmet F. Coskun, Joshua Xu
Publikováno v:
Journal of Pharmaceutical Analysis, Vol 13, Iss 7, Pp 691-693 (2023)
Externí odkaz:
https://doaj.org/article/24c6f24a66074ea08ab225136cf50050
Autor:
Yifan Zhang, Thomas M. Blomquist, Rebecca Kusko, Daniel Stetson, Zhihong Zhang, Lihui Yin, Robert Sebra, Binsheng Gong, Jennifer S. Lococo, Vinay K. Mittal, Natalia Novoradovskaya, Ji-Youn Yeo, Nicole Dominiak, Jennifer Hipp, Amelia Raymond, Fujun Qiu, Hanane Arib, Melissa L. Smith, Jay E. Brock, Daniel H. Farkas, Daniel J. Craig, Erin L. Crawford, Dan Li, Tom Morrison, Nikola Tom, Wenzhong Xiao, Mary Yang, Christopher E. Mason, Todd A. Richmond, Wendell Jones, Donald J. Johann, Leming Shi, Weida Tong, James C. Willey, Joshua Xu
Publikováno v:
Genome Biology, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background Clinical laboratories routinely use formalin-fixed paraffin-embedded (FFPE) tissue or cell block cytology samples in oncology panel sequencing to identify mutations that can predict patient response to targeted therapy. To underst
Externí odkaz:
https://doaj.org/article/e207f3a869da4a6c9e54ed39c85b42dd