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Simon S. Cross

Researcher at University of Sheffield

Publications -  348
Citations -  27333

Simon S. Cross is an academic researcher from University of Sheffield. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 78, co-authored 332 publications receiving 24193 citations. Previous affiliations of Simon S. Cross include Royal Hallamshire Hospital & Northern General Hospital.

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Introduction to neural networks.

TL;DR: This book is for non-commercial use, as long as it is distributed as a whole in its original form, and the names of the authors and the University of Amsterdam are mentioned.
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Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies

TL;DR: Paul Pharoah and colleagues evaluate the prognostic significance of immunohistochemical subtype classification in more than 10,000 breast cancer cases with early disease, and examines the influence of a patient's survival time on the prediction of future survival.
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Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Kyriaki Michailidou, +220 more
- 01 Apr 2013 - 
TL;DR: A meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, and identified 29,807 SNPs for further genotyping suggests that more than 1,000 additional loci are involved in breast cancer susceptibility.
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Association analysis identifies 65 new breast cancer risk loci

Kyriaki Michailidou, +396 more
- 02 Nov 2017 - 
TL;DR: A genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry finds that heritability of Breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2–5-fold enriched relative to the genome- wide average.
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RAD51B in Familial Breast Cancer

Liisa M. Pelttari, +115 more
- 05 May 2016 - 
TL;DR: It is suggested that loss-of-function mutations in RAD 51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.