C
Cheng Li
Researcher at Peking University
Publications - 238
Citations - 49764
Cheng Li is an academic researcher from Peking University. The author has contributed to research in topics: Gene & Medicine. The author has an hindex of 63, co-authored 200 publications receiving 42539 citations. Previous affiliations of Cheng Li include University of California, Los Angeles & Tongji University.
Papers
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Bioconductor: open software development for computational biology and bioinformatics
Robert Gentleman,Vincent J. Carey,Douglas M. Bates,Benjamin M. Bolstad,Marcel Dettling,Sandrine Dudoit,Byron Ellis,Laurent Gautier,Yongchao Ge,Jeff Gentry,Kurt Hornik,Torsten Hothorn,Wolfgang Huber,Stefano Maria Iacus,Rafael A. Irizarry,Friedrich Leisch,Cheng Li,Martin Maechler,A. J. Rossini,Günther Sawitzki,Colin A. Smith,Gordon K. Smyth,Luke Tierney,Jean Yang,Jianhua Zhang +24 more
TL;DR: Details of the aims and methods of Bioconductor, the collaborative creation of extensible software for computational biology and bioinformatics, and current challenges are described.
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Adjusting batch effects in microarray expression data using empirical Bayes methods
TL;DR: This paper proposed parametric and non-parametric empirical Bayes frameworks for adjusting data for batch effects that is robust to outliers in small sample sizes and performs comparable to existing methods for large samples.
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GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.
TL;DR: GEPIA (Gene Expression Profiling Interactive Analysis) fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources.
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Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
Cheng Li,Wing Hung Wong +1 more
TL;DR: A statistical model is proposed for the probe-level data, and model-based estimates for gene expression indexes are developed, which help to identify and handle cross-hybridizing probes and contaminating array regions.
Journal ArticleDOI
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
Arindam Bhattacharjee,William G. Richards,Jane Staunton,Cheng Li,Stefano Monti,Priya Vasa,Christine Ladd,Javad Beheshti,Raphael Bueno,Michael A. Gillette,Massimo Loda,Griffin M. Weber,Eugene J. Mark,Eric S. Lander,Wing Hung Wong,Bruce E. Johnson,Todd R. Golub,Todd R. Golub,David J. Sugarbaker,Matthew Meyerson +19 more
TL;DR: A molecular taxonomy of lung carcinoma is generated and results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.