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Molecular phenotyping is central in cancer precision medicine, but remains costly and standard methods only provide a tumour average profile. Microscopic morphological patterns observable in histopathology sections from tumours are…

Image and Video Processing · Electrical Eng. & Systems 2020-09-21 Yinxi Wang , Kimmo Kartasalo , Masi Valkonen , Christer Larsson , Pekka Ruusuvuori , Johan Hartman , Mattias Rantalainen

Determining the primary site of origin for metastatic tumors is one of the open problems in cancer care because the efficacy of treatment often depends on the cancer tissue of origin. Classification methods that can leverage tumor genomic…

Genomics · Quantitative Biology 2019-11-19 Alena Harley

Mutations in proto-oncogenes (ONGO) and the loss of regulatory function of tumor suppression genes (TSG) are the common underlying mechanism for uncontrolled tumor growth. While cancer is a heterogeneous complex of distinct diseases,…

Machine Learning · Computer Science 2021-05-19 Nishanth. Anandanadarajah , C. H. Chu , R. Loganantharaj

Molecular phenotyping by gene expression profiling is common in contemporary cancer research and in molecular diagnostics. However, molecular profiling remains costly and resource intense to implement, and is just starting to be introduced…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Philippe Weitz , Yinxi Wang , Kimmo Kartasalo , Lars Egevad , Johan Lindberg , Henrik Grönberg , Martin Eklund , Mattias Rantalainen

A principal component analysis of the TCGA data for 15 cancer localizations unveils the following qualitative facts about tumors: 1) The state of a tissue in gene expression space may be described by a few variables. In particular, there is…

Tissues and Organs · Quantitative Biology 2023-05-10 Augusto Gonzalez , Yasser Perera , Rolando Perez

Computer aided diagnosis (CAD) of Breast Cancer (BRCA) images has been an active area of research in recent years. The main goals of this research is to develop reliable automatic methods for detecting and diagnosing different types of BRCA…

Image and Video Processing · Electrical Eng. & Systems 2020-03-20 Marco A. V. M. Grinet , Nuno M. Garcia , Ana I. R. Gouveia , Jose A. F. Moutinho , Abel J. P. Gomes

Tumor cell populations can be thought of as being composed of homogeneous cell subpopulations, with each subpopulation being characterized by overlapping sets of single nucleotide variants (SNVs). Such subpopulations are known as subclones…

Applications · Statistics 2019-05-02 Tianjian Zhou , Peter Mueller , Subhajit Sengupta , Yuan Ji

Next-generation sequencing technologies allow the measurement of somatic mutations in a large number of patients from the same cancer type. One of the main goals in analyzing these mutations is the identification of mutations associated…

Quantitative Methods · Quantitative Biology 2016-09-13 Tommy Hansen , Fabio Vandin

Development of a tumor is known to be a result of accumulation of DNA changes in somatic cells. However, the processes of how DNA changes are produced and how they accumulate in somatic cells are not clear. DNA changes include two types:…

Tissues and Organs · Quantitative Biology 2017-01-05 Jicun Wang-Michelitsch , Thomas M. Michelitsch

Sex chromosomes have evolved repeatedly across the Tree of Life, yet their evolutionary fates differ strikingly. In sharp contrast to mammals and birds with degenerated, stable Y/W chromosomes, in most amphibians, teleosts, non avian…

Populations and Evolution · Quantitative Biology 2026-03-24 Wen-Juan Ma , Ricard Fontserè , Tristan Cornelis , Paris Veltsos , Qi Zhou

Essential genes constitute the core of genes which cannot be mutated too much nor lost along the evolutionary history of a species. Natural selection is expected to be stricter on essential genes and on conserved (highly shared) genes, than…

Genomics · Quantitative Biology 2018-05-03 Maddalena Dilucca , Giulio Cimini , Andrea Giansanti

Double-strand breaks (DSBs) in DNA are naturally occurring destructive events in all organisms that may lead to genome instability. Cells employ various repair methods known as non-homologous end joining (NHEJ), microhomology mediated end…

Mutations can arise from the chance misincorporation of nucleotides during DNA replication or from DNA lesions that are not repaired correctly. We introduce a model that relates the source of mutations to their accumulation with cell…

Populations and Evolution · Quantitative Biology 2015-07-27 Ziyue Gao , Minyoung J. Wyman , Guy Sella , Molly Przeworski

Gene selection plays a pivotal role in oncology research for improving outcome prediction accuracy and facilitating cost-effective genomic profiling for cancer patients. This paper introduces two gene selection strategies for deep…

Genomics · Quantitative Biology 2024-03-05 Akhila Krishna , Ravi Kant Gupta , Pranav Jeevan , Amit Sethi

Applying machine learning to biological sequences - DNA, RNA and protein - has enormous potential to advance human health, environmental sustainability, and fundamental biological understanding. However, many existing machine learning…

Machine Learning · Statistics 2023-04-11 Alan Nawzad Amin , Eli Nathan Weinstein , Debora Susan Marks

Exchange type chromosome aberrations (ETCAs) are rearrangements of the genome that occur when chromosomes break and the resulting fragments rejoin with other fragments from other chromosomes. ETCAs are commonly observed in cancer cells and…

Applications · Statistics 2014-06-03 Javier Arsuaga , Ido Heskia , Serkan Hosten , Tatsiana Maskalevich

PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools monitoring and prioritizing the literature to understand the clinical implications of the pathogenic genetic variants. We…

Recent studies of cancer somatic mutation profiles seek to identify mutations for targeted therapy in personalized medicine. Analysis of profiles, however, is not trivial, as each profile is heterogeneous and there are multiple confounding…

Machine Learning · Statistics 2020-05-25 Rahul Mehta , Muge Karaman

The main goal of Systems Biology research is to reconstruct biological networks for its topological analysis so that reconstructed networks can be used for the identification of various kinds of disease. The availability of high-throughput…

Systems and Control · Computer Science 2013-07-02 Khalid Raza , Rajni Jaiswal

Although cancer is known to be characterized by several unifying biological hallmarks, systems biology has had limited success in identifying molecular signatures present in in all types of cancer. The current availability of rich data sets…