Results 61 to 70 of about 260,681 (237)
Retrotransposon mobilization in cancer genomes [PDF]
arXiv, 2015 The Cancer Genome Atlas project was initiated by the National Cancer Institute in order to characterize the genomes of hundreds of tumors of various cancer types. While much effort has been put into detecting somatic genomic variation in these data, somatic structural variation induced by the activity of transposable element insertions has not been ...
arxiv
Measuring single cell divisions in human tissues from multi-region sequencing data
Nature Communications, 2020 Quantifying somatic evolutionary processes in cancer and healthy tissue is a challenge. Here, the authors use single time point multi-region sampling of cancer and normal tissue, combined with evolutionary theory, to quantify in vivo mutation and cell ...
Benjamin Werner +14 more
doaj +1 more source
Discovery of cancer common and specific driver gene sets [PDF]
arXiv, 2016 Cancer is known as a disease mainly caused by gene alterations. Discovery of mutated driver pathways or gene sets is becoming an important step to understand molecular mechanisms of carcinogenesis. However, systematically investigating commonalities and specificities of driver gene sets among multiple cancer types is still a great challenge, but this ...
arxiv
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction [PDF]
arXiv, 2023 The integration of multi-modal data, such as pathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions. Despite the progress made in integrating pathology and genomic data, most existing methods cannot mine the complex inter ...
arxiv
Cell Reports, 2017 Senescence is a proliferation arrest that can result from a variety of stresses. Cancer cells can also undergo senescence, but the stresses that provoke cancer cells to undergo senescence are unclear.
Liqin Wang +11 more
doaj +1 more source
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration [PDF]
arXiv, 2020 Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprecedented depth and scale. A large amount of genomic data is now distributed through consortia like The Cancer Genome Atlas (TCGA), where specific types of biological ...
arxiv
Learning Genomic Representations to Predict Clinical Outcomes in Cancer [PDF]
arXiv, 2016 Genomics are rapidly transforming medical practice and basic biomedical research, providing insights into disease mechanisms and improving therapeutic strategies, particularly in cancer. The ability to predict the future course of a patient's disease from high-dimensional genomic profiling will be essential in realizing the promise of genomic medicine,
arxiv
Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review [PDF]
, 2011 A variety of genome-wide profiling techniques are available to probe complementary aspects of genome structure and function. Integrative analysis of heterogeneous data sources can reveal higher-level interactions that cannot be detected based on individual observations.
arxiv +1 more source
Noncoding RNAs serve as the deadliest regulators for cancer [PDF]
arXiv, 2019 Cancer is one of the leading causes of human death. Many efforts have made to understand its mechanism and have further identified many proteins and DNA sequence variations as suspected targets for therapy. However, drugs targeting these targets have low success rates, suggesting the basic mechanism still remains unclear.
arxiv
Genome sequencing and cancer [PDF]
Current Opinion in Genetics & Development, 2012 New technologies for DNA sequencing, coupled with advanced analytical approaches, are now providing unprecedented speed and precision in decoding human genomes. This combination of technology and analysis, when applied to the study of cancer genomes, is revealing specific and novel information about the fundamental genetic mechanisms that underlie ...
openaire +3 more sources