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Showing 1 to 20 of 58 for “"Cancer Genomics"”.

  1. Algorithms for infection and cancer genomics

    The student, Palash Sashittal, submitted this Thesis for approval on 2021-07-19 at 11:33.

    uiuc Repository record for Algorithms for infection and cancer genomics (opens in a new tab)

  2. Computational methods for personalized cancer genomics

    In recent years, cancer treatment strategies have moved towards personalized approaches, specifically tailoring cancer treatments on a single-patient basis using molecular profiles from the patients’ tumor genomes. Knowledge of a patient’s molecular profile can be used to 1) identify the disease …

    uiuc Repository record for Computational methods for personalized cancer genomics (opens in a new tab)

  3. Bayesian Kernel Models for Statistical Genetics and Cancer Genomics

    … trait loci (QTL) mapping studies, and cancer biology association studies. Lastly, we will also explore the potential of these approaches in radiogenomics, a brand new subfield of genetics and genomics that focuses on the study of correlations between imaging or network features and …

    duke Repository record for Bayesian Kernel Models for Statistical Genetics and Cancer Genomics (opens in a new tab)

  4. Genetic ancestry and population health: elucidating the relative role of African genetic ancestry in cancer genomics and the broader implications for racial health disparities in cancer

    Racial health disparities in cancer remain a persistent and deeply rooted issue disproportionately affecting minoritized populations in the United States. Among these groups, individuals of African ancestry, particularly African Americans, face some of the most severe outcomes, including higher …

    temple Repository record for Genetic ancestry and population health: elucidating the relative role of African genetic ancestry in cancer genomics and the broader implications for racial health disparities in cancer (opens in a new tab)

  5. Deciphering the heterogeneity and spatial architecture of tumors

    Cancer is caused by the accumulation of somatic mutations that form distinct populations of cells, called clones. The resulting intra-tumor heterogeneity evolves temporally, as well as spatially, and is the main cause of relapse and resistance to treatment. With decreasing costs in DNA sequencing …

    uiuc Repository record for Deciphering the heterogeneity and spatial architecture of tumors (opens in a new tab)

  6. DawnRank: discovering personalized driver genes in cancer

    Large-scale cancer genomic studies have revealed that the genetic heterogeneity of the same type of cancer is greater than previously thought. A key question in cancer genomics is the identification of driver genes. Although existing methods have identified many common drivers, it remains …

    uiuc Repository record for DawnRank: discovering personalized driver genes in cancer (opens in a new tab)

  7. Clinical Applications of Genomic Analyses in Prostate Cancer

    Prostate cancer is a leading cause of cancer-related death globally and is characterised by significant intra- and inter-patient genomic heterogeneity. This heterogeneity manifests as variable disease presentations ranging from indolent cancers for which no treatment is needed to aggressive disease …

    unsw Repository record for Clinical Applications of Genomic Analyses in Prostate Cancer (opens in a new tab)

  8. Genome Variation Across Cancers Scales With Tissue Stiffness--An Invasion-Mutation Mechanism

    Analysis of published cancer genome sequencing data reveals that cancers arising in stiff tissues, such as lung and skin, exhibit more than 30-fold higher mutation rates than those arising in soft tissues, like marrow and brain. This scaling relationship suggests a possible mechanical source of …

    penn Repository record for Genome Variation Across Cancers Scales With Tissue Stiffness--An Invasion-Mutation Mechanism (opens in a new tab)

  9. Bioinformatics analysis of epigenetic variants associated with melanoma

    The field of cancer genomics is currently being enhanced by the power of Epigenome-wide association studies (EWAS). Over the last couple of years comprehensive sequence data sets have been generated, allowing analysis of genome-wide activity in cohorts of different individuals to be increasingly …

    bradford Repository record for Bioinformatics analysis of epigenetic variants associated with melanoma (opens in a new tab)

  10. Integrated Machine Learning and Bioinformatics Approaches for Prediction of Cancer-Driving Gene Mutations

    <p>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 classification of cancer-linked driver mutations will considerably help our understanding of the molecular …

    chapman Repository record for Integrated Machine Learning and Bioinformatics Approaches for Prediction of Cancer-Driving Gene Mutations (opens in a new tab)

  11. Prevalence and prevention of large-scale somatic copy number alterations

    … both CNVs and aneuploidy are widespread in cancer and also reported to be prevalent in select untransformed tissues. In order to reconcile these discrepant observations and understand how genomic imbalance influences disease, it is necessary to perform directed analyses of genomic stability …

    mit Repository record for Prevalence and prevention of large-scale somatic copy number alterations (opens in a new tab)

  12. Roles for the polycomb group protein BMI1 in lung adenocarcinoma progression and maintenance

    … implicated as an oncogene in a variety of human cancers. During normal development, Bmil acts as part of a transcriptional repressive complex that regulates processes such as stem cell self-renewal, cell-fate commitment, and proliferation. During tumorigenesis, many cancers co-opt these core Bmil …

    mit Repository record for Roles for the polycomb group protein BMI1 in lung adenocarcinoma progression and maintenance (opens in a new tab)

  13. Tumor-penetrating delivery of small interfering RNA therapeutics

    Efforts to sequence cancer genomes have begun to uncover comprehensive lists of genes altered in cancer. Unfortunately, the number and complexity of identified alterations has made dissecting the underlying biology of cancer difficult, as many genes are not amenable to manipulation by small …

    mit Repository record for Tumor-penetrating delivery of small interfering RNA therapeutics (opens in a new tab)

  14. Pan-Cancer Analysis of Non-Coding Driver Mutations

    Cancers are caused by genomic alterations known as drivers. As drivers have broad applications in precision oncology, their discovery has become one of the central motivations for cancer genomics. At present, the majority of drivers have been found in the ~2% protein-coding regions. Despite an …

    toronto-retro Repository record for Pan-Cancer Analysis of Non-Coding Driver Mutations (opens in a new tab)

  15. Altered Ovarian Cancer Metabolism Increases Neuronal N-Acetylaspartate to Promote Tumor Growth

    … metabolism is a well-established trait in many cancers, and is an emerging hallmark of cancer. Recent resurgence of cancer metabolism studies has identified dysregulated metabolic pathways that produce novel oncometabolites in various cancers. However, large scale studies of dysregualted high …

    uthsc Repository record for Altered Ovarian Cancer Metabolism Increases Neuronal N-Acetylaspartate to Promote Tumor Growth (opens in a new tab)

  16. Integrating Functional Genomics with Systems Biology to Discover Drivers and Therapeutic Targets of Human Malignancies

    … functional RNAi screens with systems biology of cancer genomics to tailor potential therapeutics for reversal of drug-resistance or treatment of aggressive tumors. I developed a series of algorithms and tools to deconvolute, QC and post-analyze high-throughput shRNA screening data by …

    columbia-diss Repository record for Integrating Functional Genomics with Systems Biology to Discover Drivers and Therapeutic Targets of Human Malignancies (opens in a new tab)

  17. NOVEL APPROACHES IN GENETIC VARIANT DISCOVERY AND CLASSIFICATION TACKLING UNSOLVED PROBLEMS IN CANCER CLINICAL GENOMICS

    … trials addressing clinical needs in clinical cancer genomics, on ovarian and breast cancers and myeloproliferative neoplasms (MPN) who did not previously show positivity for known MPN genetic drivers (“triple negative disease”). In the latter study, we found a high prevalence of mutations in a …

    milano Repository record for NOVEL APPROACHES IN GENETIC VARIANT DISCOVERY AND CLASSIFICATION TACKLING UNSOLVED PROBLEMS IN CANCER CLINICAL GENOMICS (opens in a new tab)

  18. Defining Determinants of Primary Drug Resistance in Precision Cancer Therapies

    … biological processes, including diseases like cancer. Through our accumulated understanding of cancer genomics, targeted therapies, which inhibit the specific driver oncogenes and pathophysiological processes that underlie cancer progression, have been developed. However, in modern precision …

    duke Repository record for Defining Determinants of Primary Drug Resistance in Precision Cancer Therapies (opens in a new tab)

  19. Utilizing the IN4MER CRISPR/CAS12A Multiplex Knockout Platform To Investigate Synthetic Lethality in the Human Genome

    … technologies and the development of targeted cancer therapies have significantly advanced our understanding of cancer genomics and prolonged patient survival. Despite these advances, durable response remains difficult to achieve in the clinic. The concept of synthetic lethality has gained …

    uthsc Repository record for Utilizing the IN4MER CRISPR/CAS12A Multiplex Knockout Platform To Investigate Synthetic Lethality in the Human Genome (opens in a new tab)

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