Efficient statistical significance approximation for local similarity analysis of high-throughput time series data
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Dongmei Ai | Fengzhu Sun | Li Charlie Xia | Jacob Cram | Jed A. Fuhrman | Fengzhu Sun | J. Fuhrman | L. C. Xia | Jacob A. Cram | Dongmei Ai
[1] Li C. Xia,et al. Accurate Genome Relative Abundance Estimation Based on Shotgun Metagenomic Reads , 2011, PloS one.
[2] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[3] Jed A Fuhrman,et al. Co-occurrence patterns for abundant marine archaeal and bacterial lineages in the deep chlorophyll maximum of coastal California , 2011, The ISME Journal.
[4] Ker-Chau Li,et al. Genome-wide coexpression dynamics: Theory and application , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[5] Kian-Lee Tan,et al. Identifying time-lagged gene clusters using gene expression data , 2005, Bioinform..
[6] R. Knight,et al. Moving pictures of the human microbiome , 2011, Genome Biology.
[7] Ping-An He,et al. Oligonucleotide profiling for discriminating bacteria in bacterial communities. , 2007, Combinatorial chemistry & high throughput screening.
[8] Debojyoti Dutta,et al. Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors , 2006, Bioinform..
[9] Pierre Vallois,et al. Approximation of the Distribution of the Supremum of a Centered Random Walk. Application to the Local Score , 2004 .
[10] M. Gerstein,et al. Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions. , 2001, Journal of molecular biology.
[11] Yudi Pawitan,et al. False discovery rate, sensitivity and sample size for microarray studies , 2005, Bioinform..
[12] Kishori M. Konwar,et al. Expanding the boundaries of local similarity analysis , 2013, BMC Genomics.
[13] Fengzhu Sun,et al. Extended local similarity analysis (eLSA) of microbial community and other time series data with replicates , 2011, BMC Systems Biology.
[14] S. Karlin,et al. Applications and statistics for multiple high-scoring segments in molecular sequences. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[15] I. Androulakis,et al. Analysis of time-series gene expression data: methods, challenges, and opportunities. , 2007, Annual review of biomedical engineering.
[16] Jean-Jacques Daudin,et al. Asymptotic behavior of the local score of independent and identically distributed random sequences , 2003 .
[17] Hubert Rehrauer,et al. A global network of coexisting microbes from environmental and whole-genome sequence data. , 2010, Genome research.
[18] K. McMahon,et al. Differential bacterial dynamics promote emergent community robustness to lake mixing: an epilimnion to hypolimnion transplant experiment. , 2010, Environmental microbiology.
[19] An-Ping Zeng,et al. In search of functional association from time-series microarray data based on the change trend and level of gene expression , 2006, BMC Bioinformatics.
[20] Eyke Hüllermeier,et al. Clustering of gene expression data using a local shape-based similarity measure , 2005, Bioinform..
[21] D. Caron,et al. Marine bacterial, archaeal and protistan association networks reveal ecological linkages , 2011, The ISME Journal.
[22] J. Reid. Experimental Design and Data Analysis for Biologists , 2003 .
[23] Amir Dembo,et al. Statistical Composition of High-Scoring Segments from Molecular Sequences , 1990 .
[24] W. Feller. The Asymptotic Distribution of the Range of Sums of Independent Random Variables , 1951 .
[25] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[26] Mark S Gilthorpe,et al. Modelling count data with excessive zeros: The need for class prediction in zero‐inflated models and the issue of data generation in choosing between zero‐inflated and generic mixture models for dental caries data , 2009, Statistics in medicine.
[27] Ziv Bar-Joseph,et al. Analyzing time series gene expression data , 2004, Bioinform..