Institution
Myriad Genetics
Company•Munich, Germany•
About: Myriad Genetics is a company organization based out in Munich, Germany. It is known for research contribution in the topics: Cancer & Breast cancer. The organization has 562 authors who have published 586 publications receiving 56046 citations. The organization is also known as: Myriad Genetics, Inc..
Topics: Cancer, Breast cancer, Gene, Population, Prostate cancer
Papers published on a yearly basis
Papers
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TL;DR: This population-based survey of HSCR provides confirmation of a genetic contribution to H SCR disease and presents unbiased risk estimates that may have clinical value in predicting recurrence.
6 citations
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12 Apr 2005TL;DR: The method of the invention involves administering to an individual in need of treatment a composition having an R-NSAID or a derivative thereof and a SSRI as mentioned in this paper, which is useful for treating and preventing neurodegenerative disorders such as Alzheimer's disease, dementia, and mild cognitive impairment.
Abstract: The invention provides compositions and methods for treating neurodegenerative disorders. The method of the invention involves administering to an individual in need of treatment a composition having an R-NSAID or a derivative thereof and a SSRI. The methods and compositions of the invention are useful for treating and preventing neurodegenerative disorders such as Alzheimer's disease, dementia, and mild cognitive impairment.
6 citations
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TL;DR: In this paper, novel zinc finger proteins and nucleic acids encoding the proteins are provided, and their interactions with ZNF202 can be useful in the treatment of coronary heart diseases, dyslipidemia, dyscholesterolemia and obesity.
Abstract: Novel zinc finger proteins and nucleic acids encoding the proteins are provided. The zinc finger proteins interact with ZNF202, a zinc finger protein that regulates the expression of a variety of genes involved in lipid metabolism and transportation. Modulation of the novel zinc finger proteins and their interactions with ZNF202 can be useful in the treatment of coronary heart diseases, dyslipidemia, dyscholesterolemia and obesity.
5 citations
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15 Oct 2005TL;DR: Partial correlation is a method for identifying the correlation between two variables, with the effects of a third variable held constant as discussed by the authors, which is mathematically equivalent to the correlation of the residual scores of the two variables regressed upon the control variable.
Abstract: Partial correlation is a method for identifying the correlation between two variables, with the effects of a third variable held constant. It is mathematically equivalent to the correlation between the residual scores of the two variables regressed upon the control variable. Partial correlation is conceptually related to, and an integral part of, a number of other useful statistical methods, including path analysis, structural equation modeling, factor analysis, and stepwise multiple regression.
Keywords:
partial correlation;
zero-order correlation;
control variable;
first-order correlation
5 citations
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04 Feb 2011TL;DR: In this article, the authors provide methods using the biomarkers for molecular detection and classification of disease, particularly hypoxia-related genes, and methods using these biomarkers to detect and classify disease.
Abstract: Biomarkers, particularly hypoxia-related genes, and methods using the biomarkers for molecular detection and classification of disease are provided.
5 citations
Authors
Showing all 562 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard D. Smith | 140 | 1180 | 79758 |
Rosalind A. Eeles | 106 | 544 | 45058 |
David E. Goldgar | 103 | 419 | 50450 |
Mark H. Pollack | 89 | 464 | 26511 |
Jacques Simard | 83 | 409 | 28493 |
Julian R. Sampson | 71 | 212 | 22192 |
Johanna M. Rommens | 71 | 202 | 42630 |
David A. Frank | 68 | 201 | 17557 |
Sean V. Tavtigian | 65 | 194 | 35641 |
Mark H. Skolnick | 64 | 211 | 30548 |
Lisa A. Cannon-Albright | 62 | 327 | 28945 |
Alexander Gutin | 54 | 167 | 17705 |
Dominic P. Williams | 49 | 134 | 6665 |
Nelleke A. Gruis | 49 | 159 | 13080 |
Nicola J. Camp | 46 | 213 | 7772 |