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One of the important issues in oncology is finding the genes that perturbation the cell functionality, and result in cancer propagation. The genes, namely driver genes, when they mutate in expression, result in cancer through activation of…

Molecular Networks · Quantitative Biology 2020-12-16 Mostafa Akhavansafar , Babak Teimourpour

As a novel biomarker from the Fanconi anemia complementation group (FANC) family, FANCA is antigens to Leukemia cancer. The overexpression of FANCA has predicted the second most common cancer in the world that is responsible for…

Quantitative Methods · Quantitative Biology 2021-11-01 Madiha Hameed , Abdul Majiid , Asifullah Khan

Motivation: Standard genome-wide association studies in cancer genomics rely on statistical significance with multiple testing correction, but systematically fail in underpowered cohorts. In TCGA breast cancer (n=967, 133 deaths), low event…

Genomics · Quantitative Biology 2025-10-22 Gokturk Aytug Akarlar

Individual cancer cells carry a bewildering number of distinct genomic alterations i.e., copy number variations and mutations, making it a challenge to uncover genomic-driven mechanisms governing tumorigenesis. Here we performed…

Recent works have stressed the important role that random mutations have in the development of cancer phenotype. We challenge this current view by means of bioinformatic data analysis and computational modelling approaches. Not all the…

Cell Behavior · Quantitative Biology 2017-06-28 Gianluca Ascolani , Pietro Lió

Lung cancer is the leading cause of cancer deaths. Early detection through low-dose computed tomography (CT) screening has been shown to significantly reduce mortality but suffers from a high false positive rate that leads to unnecessary…

Image and Video Processing · Electrical Eng. & Systems 2019-06-04 Jason L. Causey , Yuanfang Guan , Wei Dong , Karl Walker , Jake A. Qualls , Fred Prior , Xiuzhen Huang

Dysregulation in signal transduction pathways can lead to a variety of complex disorders, including cancer. Computational approaches such as network analysis are important tools to understand system dynamics as well as to identify critical…

Molecular Networks · Quantitative Biology 2015-11-12 Bhanwar Lal Puniya , Laura Allen , Colleen Hochfelder , Mahbubul Majumder , Tomáš Helikar

Background: MicroRNAs (miRNAs) play multiple roles in tumor biology [1]. Interestingly, reports from multiple groups suggest that miRNA targets may be coupled through competitive stoichiometric sequestration [2]. Specifically, computational…

Cancer cells are widely known to be protected from apoptosis, which is a major hurdle to successful anti-cancer therapy. Over-expression of several anti-apoptotic proteins, or mutations in pro-apoptotic factors, has been recognized to…

Molecular Networks · Quantitative Biology 2010-09-14 Subhadip Raychaudhuri

m5C modification is a type of RNA methylation modification, and its major methyltransferase, NSUN2, catalyzes m5C modification. NSUN2 is overexpressed in a variety of cancers, and it affects the metabolism of RNA from target genes by…

Biomolecules · Quantitative Biology 2025-06-10 Zifang He , Longtao Yang , Peiyao Ma

Identifying the genes and mutations that drive the emergence of tumors is a major step to improve understanding of cancer and identify new directions for disease diagnosis and treatment. Despite the large volume of genomics data, the…

Machine Learning · Computer Science 2022-04-05 Renan Andrades , Mariana Recamonde-Mendoza

Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been recently demonstrated that low-dose computed tomography (CT)…

Early detection is crucial for successful cancer treatment and increasing survivability rates, particularly in the most common forms. Ten different cancers have been identified in most of these advances that effectively use CNNs…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Hossein Molaeian , Kaveh Karamjani , Sina Teimouri , Saeed Roshani , Sobhan Roshani

Cancer is a complex genetic disease involving uncontrolled cell growth and proliferation, and necessitates effective targeting of dysregulated cellular pathways underlying cancer progression. Multiple genetic and epigenetic alterations…

Other Quantitative Biology · Quantitative Biology 2026-01-28 Manish Kumar

Signaling pathways serve to communicate information about extracellular conditions into the cell, to both the nucleus and cytoplasmic processes to control cell responses. Genetic mutations in signaling network components are frequently…

Molecular Networks · Quantitative Biology 2021-06-15 Michael A. Kochen , Steven S. Andrews , H. Steven Wiley , Song Feng , Herbert M. Sauro

Antiterminators are essential components of bacterial transcriptional regulation, allowing the control of gene expression in response to fluctuating environmental conditions. Among them, RNA-binding antiterminator proteins play a major role…

Molecular Networks · Quantitative Biology 2025-09-17 Diane Soussan , Ali Tahrioui , Rafael Ruiz de la Haba , Adrien Forge , Sylvie Chevalier , Olivier Lesouhaitier , Cécile Muller

Breast cancer has long been a prominent cause of mortality among women. Diagnosis, therapy, and prognosis are now possible, thanks to the availability of RNA sequencing tools capable of recording gene expression data. Molecular subtyping…

Machine Learning · Computer Science 2021-11-11 Sheetal Rajpal , Virendra Kumar , Manoj Agarwal , Naveen Kumar

Antiterminators are essential components of bacterial transcriptional regulation, allowing the control of gene expression in response to fluctuating environmental conditions. RNA-binding antiterminators are particularly important regulatory…

Molecular Networks · Quantitative Biology 2024-11-08 Diane Soussan , Ali Tahrioui , R R de la Haba , Adrien Forge , Sylvie Chevalier , Olivier Lesouhaitier , Cécile Muller

The existence of latent cellular reservoirs is recognized as the major barrier to an HIV cure. Reactivating and eliminating "shock and kill" or permanently silencing "block and lock" the latent HIV reservoir, as well as gene editing, remain…

Biomolecules · Quantitative Biology 2025-04-25 Xiangshuai Liu

Gene expression profiles have been widely used to characterize patterns of cellular responses to diseases. As data becomes available, scalable learning toolkits become essential to processing large datasets using deep learning models to…

Machine Learning · Computer Science 2019-02-01 Ya Ju Fan , Jonathan E. Allen , Sam Ade Jacobs , Brian C. Van Essen