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Clusters of circulating tumor cells (CTCs), although rare, may account for more than 95% of metastases. Inflammatory breast cancer (IBC) is a highly aggressive subtype that chiefly metastasizes via CTC clusters. Theory suggests that…

分子网络 · 定量生物学 2017-11-28 Shubham Tripathi , Mohit Kumar Jolly , Wendy A. Woodward , Herbert Levine , Michael W. Deem

Cervical (CC) and endometrial cancers (EC) are two common types of gynecological tumors that threaten the health of females worldwide. Since their underlying mechanisms and associations remain unclear, computational bioinformatics analysis…

其他定量生物学 · 定量生物学 2025-10-28 Md. Selim Reza , Mst. Ayesha Siddika , Md. Tofazzal Hossain , Md. Ashad Alam , Md. Nurul Haque Mollah

Genomic alterations lead to cancer complexity and form a major hurdle for a comprehensive understanding of the molecular mechanisms underlying oncogenesis. In this review, we describe the recent advances in studying cancer-associated genes…

分子网络 · 定量生物学 2007-12-24 Edwin Wang , Anne Lenferink , Maureen O'Connor-McCourt

In this paper, we compared cancerous and normal cell according to their protein-protein interaction network. Cancer is one of the complicated diseases and experimental investigations have been showed that protein interactions have an…

分子网络 · 定量生物学 2019-03-19 Hossein A. Rahmani , AliReza Khanteymoori , Mohammad Olyaee

Gallbladder cancer (GBC) is the most frequent cause of disease among biliary tract neoplasms. Identifying the molecular mechanisms and biomarkers linked to GBC progression has been a significant challenge in scientific research. Few recent…

Tumor growth, which plays a central role in cancer evolution, depends on both the internal features of the cells, such as their ability for unlimited duplication, and the external conditions, e.g., supply of nutrients, as well as the…

生物物理 · 物理学 2018-06-19 Youness Azimzade , Abbas Ali Saberi , Muhammad Sahimi

The advent of digital pathology presents opportunities for computer vision for fast, accurate, and objective solutions for histopathological images and aid in knowledge discovery. This work uses deep learning to predict genomic biomarkers -…

计算机视觉与模式识别 · 计算机科学 2021-03-16 Ruchi Chauhan , PK Vinod , CV Jawahar

Background: Bladder cancer is the 10th most common cancer worldwide, and its prevalence is increasing, especially in developing countries. Objective: In the present study, we employed gene expression profiles from the GSE163209 data set in…

基因组学 · 定量生物学 2021-12-28 S. Sajedeh Mousavi , Mohammad Jalil Zorriehzahra

BACKGROUND: Breast cancer has emerged as one of the most prevalent cancers among women leading to a high mortality rate. Due to the heterogeneous nature of breast cancer, there is a need to identify differentially expressed genes associated…

机器学习 · 计算机科学 2021-11-30 Sheetal Rajpal , Ankit Rajpal , Manoj Agarwal , Naveen Kumar

Identification of genes that initiate cell anomalies and cause cancer in humans is among the important fields in the oncology researches. The mutation and development of anomalies in these genes are then transferred to other genes in the…

分子网络 · 定量生物学 2023-03-03 Mostafa Akhavan Safar , Babak Teimourpour , Abbas Nozari-Dalini

Invasive ductal carcinoma (IDC), which is also sometimes known as the infiltrating ductal carcinoma, is the most regular form of breast cancer. It accounts for about 80% of all breast cancers. According to the American Cancer Society, more…

图像与视频处理 · 电气工程与系统科学 2019-11-12 Chandra Churh Chatterjee , Gopal Krishna

Genes communicate with each other through different regulatory effects, which lead to the emergence of complex structures in cells, and such structures are expected to be different for normal and cancerous cells. To study breast cancer…

分子网络 · 定量生物学 2020-10-13 Abbas Karimi Rizi , Mina Zamani , Amirhossein Shirazi , G. Reza Jafari , János Kertész

For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective…

Motivation: Analysis of relationships of drug structure to biological response is key to understanding off-target and unexpected drug effects, and for developing hypotheses on how to tailor drug thera-pies. New methods are required for…

Mining gene expression profiles has proven valuable for identifying signatures serving as surrogates of cancer phenotypes. However, the similarities of such signatures across different cancer types have not been strong enough to conclude…

基因组学 · 定量生物学 2020-01-01 Yingcheng Sun , Xiangru Liang , Kenneth Loparo

Investigations of topological uniqueness of gene interaction networks in cancer cells are essential for understanding this disease. Based on the random matrix theory, we study the distribution of the nearest neighbor level spacings $P(s)$…

分子网络 · 定量生物学 2018-07-27 Ayumi Kikkawa

Complex gene interactions play a significant role in cancer progression, driving cellular behaviors that contribute to tumor growth, invasion, and metastasis. Gene co-expression networks model the functional connectivity between genes under…

分子网络 · 定量生物学 2024-11-27 Radwa Adel , Ercan Engin Kuruoglu

The interactions between tumor cells and the tumor microenvironment (TME) dictate therapeutic efficacy of radiation and many systemic therapies in breast cancer. However, to date, there is not a widely available method to reproducibly…

The research reported in this paper identifies the epigenetic biomarker (methylation beta pattern) of breast cancer. Many cancers are triggered by abnormal gene expression levels caused by aberrant methylation of CpG sites in the DNA. In…

基因组学 · 定量生物学 2019-10-16 Maxim Vaysburd

Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but exclusive markers are not available for many cell types. A…

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