Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction

Autor: John H. Phan, Andrew N. Young, May D. Wang

Publikováno v: The Scientific World Journal, Vol 2012 (2012)

Combining multiple microarray datasets increases sample size and leads to improved reproducibility in identification of informative genes and subsequent clinical prediction. Although microarrays have increased the rate of genomic data collection, sam

Externí odkaz: https://doaj.org/article/3b23aaef61c64bd59ecafd83874f6fb6

Discovery of Lipidome Alterations Following Traumatic Brain Injury via High-Resolution Metabolomics

Autor: Scott R Hogan, May D. Wang, Facundo M. Fernández, Ravi V. Bellamkonda, Michelle C. LaPlaca, John H. Phan, Melissa Alvarado-Velez

Publikováno v: J Proteome Res

Traumatic brain injury (TBI) can occur across wide segments of the population, presenting in a heterogeneous manner that makes diagnosis inconsistent and management challenging. Biomarkers offer the potential to objectively identify injury status, se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70cc6271279f125ddccd880d8a7bc6fd
https://pubmed.ncbi.nlm.nih.gov/29671324

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Autor: Jan Hellemans, Hans Binder, Jean Thierry-Mieg, Joshua Xu, Djork-Arné Clevert, Peter Sykacek, Matthias Fischer, Youping Deng, Samir Lababidi, Ryan Peters, Hanlin Gao, Craig A. Praul, Meihua Gong, Jo Vandesompele, Haiqing Li, Wei Wang, Joaquín Dopazo, Shawn Levy, Yang Liao, John Zhang, Lee Thomas Szkotnicki, Paul Zumbo, Huixiao Hong, Weida Tong, Quan Zhen Li, E. Aubrey Thompson, Jennifer G. Catalano, Danielle Thierry-Mieg, Binsheng Gong, Wenwei Zhang, Wendell D. Jones, Min Jian, Dalila B. Megherbi, Lucille Rainbow, Robert Setterquist, Peng Li, Hong Fang, Javier Pérez-Florido, Xin Lu, Chen Zhao, Stephen J. Walker, Tao Qing, Marco Chierici, Yiming Zhou, Joseph Meehan, Christopher E. Mason, Eric D. Wieben, Mehdi Pirooznia, Liqing Wan, Bimeng Tu, Stan Letovsky, James C. Fuscoe, Sepp Hochreiter, Yoichi Gondo, Alicia Vela-Boza, Bridgett Green, Li Li, Zirui Dong, Weimin Cai, Geng Chen, Pedro Furió-Tarí, Andreas Scherer, Zhenqiang Su, Scott Schwartz, Charles Wang, Frank Staedtler, Jian Wang, Wenzhong Xiao, Yong Yang, Murray H. Brilliant, Wei Shi, Scott S. Auerbach, Matthew Tinning, Yongxiang Fang, Tingting Du, Meiwen Jia, Jiekun Xuan, Shiyong Li, Yan Li, Ying Yu, Adnan Derti, Ruchir R. Shah, Nadereh Jafari, Nancy Stralis-Pavese, Edward J. Oakeley, Jinhui Wang, Pierre R. Bushel, Jun Wang, Simon Lin, Joost H.M. van Delft, Francisco Javier López, Weigong Ge, Huan Gao, James C. Willey, Roger Perkins, Xin Xing Tan, Viswanath Devanarayan, Laure Sambourg, Zhiyu Peng, Po Yen Wu, Jianying Li, Philippe Rocca-Serra, Javier Santoyo-Lopez, Paweł P. Łabaj, David P. Kreil, Elia Stupka, John H. Phan, Heng Luo, Gary P. Schroth, Roderick V. Jensen, Thomas M. Blomquist, Russell D. Wolfinger, John F. Thompson, Wenqian Zhang, Nan Mei, Suzanne Kay, May D. Wang, Tzu Ming Chu, Jie Shen, Jiri Zavadil, Weihong Xu, Wenjun Bao, Akhilesh Pandey, Rong Chen, Leming Shi, Yutaka Suzuki, Todd M. Smith, Chao Guo, Zhuolin Gong, Feng Qian, Mario Fasold, Lei Guo, Ching-Wei Chang, Reagan Kelly, Ana Conesa, Yate Ching Yuan, Cesare Furlanello, Elisa Venturini, Zhan Ye, Yuanting Zheng, Jos C. S. Kleinjans, James Hadfield, Susanna-Assunta Sansone, Gordon K. Smyth, Li Wu Guo, Stan Gaj, Oliver Stegle, Yanyan Zhang, Tao Chen, Ye Yin, Anita Fernandez, Tieliu Shi, Charles D. Johnson, Baitang Ning, Fei Lu, Florian Caimet, Bing Mu, Jorge Gandara, Ke Zhang, Sheng Li, Xiwen Ma

Publikováno v: Nature biotechnology
Nature Biotechnology, 32(9), 903-914. Nature Publishing Group

We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f574fbd57cb9cc567146ad9815046e12
https://doi.org/10.1038/nbt.2957

Integration of multi-modal biomedical data to predict cancer grade and patient survival

Autor: John H. Phan, May D. Wang, Po-Yen Wu, Ryan A. Hoffman, Sonal Kothari

Publikováno v: BHI

The Big Data era in Biomedical research has resulted in large-cohort data repositories such as The Cancer Genome Atlas (TCGA). These repositories routinely contain hundreds of matched patient samples for genomic, proteomic, imaging, and clinical data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18f64e7cdd651a5cf248d103d04fbd45
https://doi.org/10.1109/bhi.2016.7455963

A semi-supervised method for predicting cancer survival using incomplete clinical data

Autor: Hamid Reza Hassanzadeh, John H. Phan, May D. Wang

Publikováno v: EMBC

Prediction of survival for cancer patients is an open area of research. However, many of these studies focus on datasets with a large number of patients. We present a novel method that is specifically designed to address the challenge of data scarcit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7263e876f768f3dcb1b1d16469fd500d
https://pubmed.ncbi.nlm.nih.gov/26736237