Results 191 to 200 of about 16,100 (233)

Functional dissection of <i>SPOP</i> at the amino acid level reveals a comprehensive functional landscape of variants during tumorigenesis. [PDF]

Proc Natl Acad Sci U S A
Park SK, Lee J, Park SJ, Kim YN, Shin GH, Dan K, Choi HJ, Han D, Hwang BJ, Choi M.   +9 more
europepmc   +1 more source

SigRescueR: a pan-system framework for noise correction and mutational signature identification across sequencing platforms. [PDF]

Brief Bioinform
Nguyen PT, Zhivagui M.
europepmc   +1 more source

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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
openaire   +2 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
openaire   +3 more sources

Predictive Modeling of Novel Somatic Mutation Impacts on Cancer Prognosis: A Machine Learning Approach Using the COSMIC Database

medRxiv
Abstract Background Somatic mutations play a crucial role in cancer initiation, progression, and treatment response. While high-throughput sequencing has vastly expanded our understanding of cancer genomics, interpreting the functional impact of novel somatic mutations remains challenging. Machine learning approaches show promise in predicting mutation
M. Mansoor, Dba
openaire   +2 more sources