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Start Over Topic statistical sampling Publication Type Reviews
37 results

2. ContrastRank: a new method for ranking putative cancer driver genes and classification of tumor samples.

Author

Tian, Rui, Basu, Malay K., and Capriotti, Emidio

Subjects
*CANCER genes, *GENE libraries, *CANCER genetics, *RECEIVER operating characteristic curves, *GENETIC mutation, *STATISTICAL sampling
Abstract

Motivation: The recent advance in high-throughput sequencing technologies is generating a huge amount of data that are becoming an important resource for deciphering the genotype underlying a given phenotype. Genome sequencing has been extensively applied to the study of the cancer genomes. Although a few methods have been already proposed for the detection of cancer-related genes, their automatic identification is still a challenging task. Using the genomic data made available by The Cancer Genome Atlas Consortium (TCGA), we propose a new prioritization approach based on the analysis of the distribution of putative deleterious variants in a large cohort of cancer samples.Results: In this paper, we present ContastRank, a new method for the prioritization of putative impaired genes in cancer. The method is based on the comparison of the putative defective rate of each gene in tumor versus normal and 1000 genome samples. We show that the method is able to provide a ranked list of putative impaired genes for colon, lung and prostate adenocarcinomas. The list significantly overlaps with the list of known cancer driver genes previously published. More importantly, by using our scoring approach, we can successfully discriminate between TCGA normal and tumor samples. A binary classifier based on ContrastRank score reaches an overall accuracy >90% and the area under the curve (AUC) of receiver operating characteristics (ROC) >0.95 for all the three types of adenocarcinoma analyzed in this paper. In addition, using ContrastRank score, we are able to discriminate the three tumor types with a minimum overall accuracy of 77% and AUC of 0.83.Conclusions: We describe ContrastRank, a method for prioritizing putative impaired genes in cancer. The method is based on the comparison of exome sequencing data from different cohorts and can detect putative cancer driver genes.ContrastRank can also be used to estimate a global score for an individual genome about the risk of adenocarcinoma based on the genetic variants information from a whole-exome VCF (Variant Calling Format) file. We believe that the application of ContrastRank can be an important step in genomic medicine to enable genome-based diagnosis.Availability and implementation: The lists of ContrastRank scores of all genes in each tumor type are available as supplementary materials. A webserver for evaluating the risk of the three studied adenocarcinomas starting from whole-exome VCF file is under development.Contact: emidio@uab.eduSupplementary information: Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Published
2014
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5. BOOK REVIEWS: 3.

Author

Roehmel, Joachim and Pigeot, I.

Subjects
STATISTICAL sampling, NONFICTION
Abstract

The article reviews the book "Ranked Set Sampling. Theory and Applications," by Z. Chen, Z. Bai and B. K. Sinha.

Published
2005
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7. American Unemployment: Past, Present, and Future.

Author

Benanav, Aaron

Subjects
UNEMPLOYMENT, UNEMPLOYMENT statistics, STATISTICAL sampling, BUSINESS cycles, STATISTICAL measurement
Abstract

Frank Stricker's I American Unemployment: Past, Present, and Future i puts America's exceptional unemployment policies in a longer-term historical context. Stricker provides a detailed account of FDR's work programs, which Stricker says proved the government could eradicate unemployment. Despite these paths not taken, Stricker's I American Unemployment i remains a commendable and necessary contribution both to the historiography of American unemployment and to policy debates around how to respond to unemployment today. [Extracted from the article]

Published
2021
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8. Sampling Opinions (Book).

Author

McCloskey, Joseph F. and Weinberg, Robert S.

Subjects
OPERATIONS research, STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Sampling Opinions," by Frederick F. Stephan and Philip J. McCarthy.

Published
1959

9. Sampling Techniques.

Author

Mulvaney, B. G. and Schnepp, Gerald J.

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Sampling Techniques," by William G. Cochran.

Published
1953
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11. Probability Sampling of Hospitals and Patients.

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Probability Sampling of Hospitals and Patients," by Irene Hess, Donald C. Riedel and Thomas B. Fitzpatrick with a foreword by Walter J. McNerney.

Published
1962

12. How Sampling Works (Book).

Author

Lepkowski, James M.

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "How Sampling Works," by Richard Maisel and Caroline Hodges Persell.

Published
1997
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24. Applied Sampling (Book).

Author

Lazerwitz, Bernard

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Applied Sampling," by Seymour Sudman.

Published
1978
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25. Theory of U-Statistics.

Author

Janssen, Paul

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Theory of U-Statistics," by V. S. Koroljuk and Yu V. Borovskich.

Published
1995
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26. SURVEY SAMPLING (Book).

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Survey Sampling," by Leslie Kish.

Published
1966

27. Sampling Inspection Tables, Second Edition.

Author

S.B.L.

Subjects
STATISTICAL sampling, NONFICTION
Abstract

Reviews the book "Sampling Inspection Tables," 2nd ed., by Harold F. Dodge and Harry G. Romig.

Published
1960

28. \Matched Sampling for Causal Effects.

Author

Sinha, Debajyoti

Subjects
STATISTICAL sampling, NONFICTION
Abstract

The article reviews the book "Matched Sampling for Causal Effects," by Donald B. Rubin

Published
2009

31. Advanced Distance Sampling: Estimating Abundance of Biological Populations by BUCKLAND, S. T., ANDERSON, D. R., BURNHAM, K. P., LAAKE, J. L., BORCHERS, C. L., and THOMAS, L.

Author

Schwarz, Carl James

Subjects
BOOKS & reading, STATISTICAL sampling, NONFICTION
Abstract

The article reviews the book "Advanced Distance Sampling: Estimating Abundance of Biological Populations," by S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, C. L. Borchers and L. Thomas.

Published
2008
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