Results 191 to 200 of about 205,622 (234)

Leveraging AutoML to optimize dataset selection for improved breast cancer variants pathogenicity prediction. [PDF]

Comput Struct Biotechnol J
Ahmad RM, AlDhaheri N, Mohamad MS, Ali BR.   +3 more
europepmc   +1 more source

Dynamic clustering of genomics cohorts beyond race, ethnicity-and ancestry. [PDF]

BMC Med Genomics
Mohsen H, Blenman K, Emani PS, Morris Q, Carrot-Zhang J, Pusztai L.   +5 more
europepmc   +1 more source

Abstract 4319: The need for new publication standards in cancer genomics, lessons from curating COSMIC database

Cancer Research, 2023
Abstract A consequence of the progress in cancer genomics is the exponential growth in data produced by research and clinical projects. Given the limited capacity within a scientific manuscript to share experimental data, various approaches have been developed: some data are simply excluded from the publication, moved to the ...
Alexander Holmes, Sari A. Ward, Zbyslaw Sondka   +2 more
semanticscholar   +3 more sources

Mutations in Necroptosis-Related Genes Reported in Breast Cancer: A Cosmic and Uniport Database-Based Study

Clinical Breast Cancer
Breast cancer (BC) now holds the top position as the primary reason of cancer-related fatalities worldwide, overtaking lung cancer. BC is classified into diverse categories depending on histopathological type, hormone receptor status, and gene expression profile, with ongoing evolution in their classifications.
Banita Thakur, Rohit Verma, Alka Bhatia
semanticscholar   +4 more sources

Study on the changes of somatic mutation in colorectal metastatic cancer based on COSMIC database

, 2019
Zhengchun Kang, E Jifu, Liangliang Zhu, Feihu Yan   +3 more
openalex   +2 more sources

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Abstract 4312: Identification of shared mutations across many parallel human and canine cancers based on comprehensive survey of canine cancer mutations and the “caninization” of human mutations from COSMIC

Cancer Research, 2023
Introduction: Vidium Insight™ is a canine cancer genomic biomarker database built from exhaustive curation of peer-reviewed literature describing genomic mutations in canine cancers.
Sharadha Sakthikumar, Salvatore J. Facista, Derick Whitley, Manisha Warrier, William P. D. Hendricks, Guannan Wang   +5 more
semanticscholar   +1 more source

Abstract 5028: Integration of molecular data into cancer patient database

Cancer Research, 2022
Background: Precision medicine holds promise of being a more effective method for treating complex diseases such as cancer. Nuanced care is needed, as the development and clinical course of cancer is multifactorial with influences from the general ...
Basil H. Chaballout, Avery T. Funkhouser, Bailey B Blair, Jane Goodwin, Alexander M Strigenz, C. Arthur, Julie C. Martin, W. Edenfield, Anna V. Blenda   +8 more
semanticscholar   +1 more source

Abstract 906: COSMIC: Describing the world’s knowledge of somatic mutations in cancer

Bioinformatics, Convergence Science, and Systems Biology, 2019
COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk/cosmic) is a continual effort to integrate all available information on somatic mutations and other molecular alterations causing every form of human cancer. Being the world’
S. Forbes, D. Beare, charalampos boutselakis, S. Bamford, Kate Noble, Claire E. Rye, J. Tate, C. Kok, Charlie Hathaway, Laura Ponting, Chris Ramshaw, Raymund Stefancsik, Sam L. Thompson, Bhavana Harsha, Nidhi Bindal, Shicai Wang, S. Jupe, H. Speedy, C. Creatore, Peter Fish, Sari Ward, C. Cole, E. Dawson, Zbyslaw Sondka   +23 more
semanticscholar   +1 more source

Abstract 3143: A bioinformatic pipeline for identifying change-of-metabolic-function cancer mutations

Cancer Research, 2023
Cancer arises through clonal evolution, in some cases selecting change of metabolic function (COMF) mutations that functionally alter proteins to affect cellular metabolism.
Kevin J. Tu, B. Diplas, Joshua A Regal, Matthew S. Waitkus, Christopher J. Pirozzi, Zachary J. Reitman   +5 more
semanticscholar   +1 more source