Considerations for a Machine Learning Approach to Classification of Cancer Driver Mutations
DR Smith - 2022 - search.proquest.com
Cancer is one of the leading causes of death for people worldwide. Since the completion of
the Human Genome Project, Next-Generation Sequencing has made leaps in …
the Human Genome Project, Next-Generation Sequencing has made leaps in …
Integrated Machine Learning and Bioinformatics Approaches for Prediction of Cancer-Driving Gene Mutations
O Odeyemi - 2020 - search.proquest.com
Cancer arises from the accumulation of somatic mutations and genetic alterations in cell
division checkpoints and apoptosis, this often leads to abnormal tumor proliferation. Proper …
division checkpoints and apoptosis, this often leads to abnormal tumor proliferation. Proper …
An evolution-based machine learning to identify cancer type-specific driver mutations
Identifying cancer type-specific driver mutations is crucial for illuminating distinct pathologic
mechanisms across various tumors and providing opportunities of patient-specific treatment …
mechanisms across various tumors and providing opportunities of patient-specific treatment …
[PDF][PDF] Cancer Genomics
● Large volumes of data are generated as part of even the smallest cancer genomic
experiments. Bioinformatic methods have provided solutions for easy data storage and …
experiments. Bioinformatic methods have provided solutions for easy data storage and …
Evaluating the evaluation of cancer driver genes
CJ Tokheim, N Papadopoulos… - Proceedings of the …, 2016 - National Acad Sciences
Sequencing has identified millions of somatic mutations in human cancers, but
distinguishing cancer driver genes remains a major challenge. Numerous methods have …
distinguishing cancer driver genes remains a major challenge. Numerous methods have …
Comprehensive assessment of computational algorithms in predicting cancer driver mutations
Background The initiation and subsequent evolution of cancer are largely driven by a
relatively small number of somatic mutations with critical functional impacts, so-called driver …
relatively small number of somatic mutations with critical functional impacts, so-called driver …
Machine learning methods for prediction of cancer driver genes: a survey paper
R Andrades… - Briefings in …, 2022 - academic.oup.com
Identifying the genes and mutations that drive the emergence of tumors is a critical step to
improving our understanding of cancer and identifying new directions for disease diagnosis …
improving our understanding of cancer and identifying new directions for disease diagnosis …
[引用][C] Leveraging comprehensive cancer systems genetic data to uncover the modus operandi of driver mutations
M Larmuseau - 2022 - biblio.ugent.be
In 2003 the human genome project concluded and had characterized about 99% of the
human genome. This phenomenal achievement would go on and fuel many technological …
human genome. This phenomenal achievement would go on and fuel many technological …
Finding driver mutations in cancer: Elucidating the role of background mutational processes
Identifying driver mutations in cancer is notoriously difficult. To date, recurrence of a mutation
in patients remains one of the most reliable markers of mutation driver status. However …
in patients remains one of the most reliable markers of mutation driver status. However …
A Comparison of Computational Tools for Prediction of Cancer Driver Genes
K Strekerud - 2014 - duo.uio.no
The significant improvements in throughput and quality of DNA sequencing technology have
revolutionized our ability to identify the genetic sequence of human cells. High-throughput …
revolutionized our ability to identify the genetic sequence of human cells. High-throughput …