[HTML][HTML] Genome interpretation using in silico predictors of variant impact

P Katsonis, K Wilhelm, A Williams, O Lichtarge - Human genetics, 2022 - Springer
Estimating the effects of variants found in disease driver genes opens the door to
personalized therapeutic opportunities. Clinical associations and laboratory experiments …

[HTML][HTML] Unraveling therapeutic opportunities and the diagnostic potential of microRNAs for human lung cancer

O Sweef, E Zaabout, A Bakheet, M Halawa, I Gad… - Pharmaceutics, 2023 - mdpi.com
Lung cancer is a major public health problem and a leading cause of cancer-related deaths
worldwide. Despite advances in treatment options, the five-year survival rate for lung cancer …

Evolution of cisplatin resistance through coordinated metabolic reprogramming of the cellular reductive state

W Yu, Y Chen, N Putluri, A Osman, C Coarfa… - British journal of …, 2023 - nature.com
Background Cisplatin (CDDP) is a mainstay treatment for advanced head and neck
squamous cell carcinomas (HNSCC) despite a high frequency of innate and acquired …

Targeting microRNAs as a promising anti-cancer therapeutic strategy against traffic-related air pollution-mediated lung cancer

H Kazemi Shariat Panahi, M Dehhaghi… - Cancer and Metastasis …, 2024 - Springer
Air pollutants are increasingly emitted into the atmosphere because of the high dependency
of humans on fossil-derived fuels. Wind speed and direction assisted high dispersibility and …

EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants

S Parvandeh, LA Donehower, P Katsonis… - Nucleic Acids …, 2022 - academic.oup.com
Discovering rare cancer driver genes is difficult because their mutational frequency is too
low for statistical detection by computational methods. EPIMUTESTR is an integrative …

Evolutionary Action–Machine Learning Model Identifies Candidate Genes Associated With Early‐Onset Coronary Artery Disease

D Shapiro, K Lee, J Asmussen… - Journal of the …, 2023 - Am Heart Assoc
Background Coronary artery disease is a primary cause of death around the world, with both
genetic and environmental risk factors. Although genome‐wide association studies have …

[HTML][HTML] Use of publication dynamics to distinguish cancer genes and bystander genes

L Bányai, M Trexler, L Patthy - Genes, 2022 - mdpi.com
de Magalhães has shown recently that most human genes have several papers in PubMed
mentioning cancer, leading the author to suggest that every gene is associated with cancer …

Graph 'texture'features as novel metrics that can summarize complex biological graphs

R Barker-Clarke, DT Weaver… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Image texture features, such as those derived by Haralick et al, are a powerful
metric for image classification and are used across fields including cancer research. Our aim …

gtexture: novel extension of image texture analysis to graphs and its application to cancer informatics

RJ Barker-Clarke, D Weaver, JG Scott - bioRxiv, 2022 - biorxiv.org
Objective The calculation of texture features, such as those derived by Haralick et al., has
been traditionally limited to 2D-imaging data. We present the novel derivation of an …

Development Of Graphical Models And Statistical Physics Motivated Approaches To Genomic Investigations

Y Lagisetty - 2022 - digitalcommons.library.tmc.edu
Identifying genes involved in disease pathology has been a goal of genomic research since
the early days of the field. However, as technology improves and the body of research …