An introduction to statistical issues in High throughput screens
暂无分享,去创建一个
[1] D. Yekutieli. Hierarchical False Discovery Rate–Controlling Methodology , 2008 .
[2] Robert Nadon,et al. Statistical practice in high-throughput screening data analysis , 2006, Nature Biotechnology.
[3] Yoav Benjamini,et al. Associating quantitative behavioral traits with gene expression in the brain: searching for diamonds in the hay , 2007, Bioinform..
[4] Yoav Benjamini,et al. Identifying differentially expressed genes using false discovery rate controlling procedures , 2003, Bioinform..
[5] Pierre Baldi,et al. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes , 2001, Bioinform..
[6] D. Geschwind,et al. Thresholding rules for recovering a sparse signal from microarray experiments. , 2002, Mathematical biosciences.
[7] Chiara Sabatti,et al. False discovery rate in linkage and association genome screens for complex disorders. , 2003, Genetics.
[8] Terence P. Speed,et al. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias , 2003, Bioinform..
[9] P. vanElteren,et al. On the combination of independent two sample tests of Wilcoxon : corrected version , 1959 .
[10] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[11] Vladimir Makarenkov,et al. Using Clustering Techniques to Improve Hit Selection in High-Throughput Screening , 2006, Journal of biomolecular screening.
[12] B. Efron. SIMULTANEOUS INFERENCE : WHEN SHOULD HYPOTHESIS TESTING PROBLEMS BE COMBINED? , 2008, 0803.3863.
[13] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[14] Robert Nadon,et al. An efficient method for the detection and elimination of systematic error in high-throughput screening , 2007, Bioinform..
[15] Bert Gunter,et al. Improved Statistical Methods for Hit Selection in High-Throughput Screening , 2003, Journal of biomolecular screening.
[16] N. Perrimon,et al. High-throughput RNAi screening in cultured cells: a user's guide , 2006, Nature Reviews Genetics.
[17] Robert Nadon,et al. HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data , 2006, Bioinform..
[18] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[19] Thomas D. Y. Chung,et al. A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays , 1999, Journal of biomolecular screening.
[20] Paul A Clemons,et al. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease , 2006, Science.
[21] V. Makarenkov,et al. Statistical Analysis of Systematic Errors in High-Throughput Screening , 2005, Journal of biomolecular screening.
[22] Marc Ferrer,et al. Robust statistical methods for hit selection in RNA interference high-throughput screening experiments. , 2006, Pharmacogenomics.