Research Topics
| Peng QiuSummaryAffiliation: Stanford University Country: USA Publications
| Collaborators
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Detail Information
Publications
Fast calculation of pairwise mutual information for gene regulatory network reconstructionPeng Qiu
Department of Radiology, Stanford University, Stanford, CA, United States
Comput Methods Programs Biomed 94:177-80. 2009..6 hours. The increased efficiency of our algorithm improves the feasibility of applying mutual information based approaches for reconstructing large regulatory networks...
Simultaneous class discovery and classification of microarray data using spectral analysisPeng Qiu
Department of Radiology, Stanford University, Stanford, California 94305, USA
J Comput Biol 16:935-44. 2009..We demonstrate the effectiveness of SPACC for class discovery and classification on microarray data of lymphomas and leukemias. SPACC software is available at http://icbp.stanford.edu/software/SPACC/...
Reducing the computational complexity of information theoretic approaches for reconstructing gene regulatory networksPeng Qiu
Department of Radiology, Stanford University, Stanford, California 94305, USA
J Comput Biol 17:169-76. 2010..The proposed method can be used with any method that relies on the mutual information to reconstruct networks...
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADEPeng Qiu
Department of Radiology, Stanford University, Stanford, CA, USA
Nat Biotechnol 29:886-91. 2011..SPADE facilitates the analysis of cellular heterogeneity, the identification of cell types and comparison of functional markers in response to perturbations...
Discovering biological progression underlying microarray samplesPeng Qiu
Department of Radiology, Stanford University, Stanford, California, USA
PLoS Comput Biol 7:e1001123. 2011....
An activity-subspace approach for estimating the integrated input function and relative distribution volume in PET parametric imagingPeng Qiu
Department of Radiology, Stanford University, CA 94305, USA
IEEE Trans Inf Technol Biomed 13:25-36. 2009..The proposed method is compared with a blind estimation method, iterative quadratic maximum-likelihood (IQML) via simulation, and the proposed method outperforms IQML. The proposed method is also evaluated in a brain PET dataset...
Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuumSean C Bendall
Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
Science 332:687-96. 2011..Collectively, such single-cell analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention...
