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The most cost-effective blood-based, noninvasive molecular cancer biomarkers are based on p53 epitopes and MUC1 tandem repeats. Here we use dimensionally compressed bioinformatic fractal scaling analysis to compare the two distinct and…

Other Quantitative Biology · Quantitative Biology 2017-01-04 J. C. Phillips

Anticancer peptides (ACPs) are a class of molecules that have gained significant attention in the field of cancer research and therapy. ACPs are short chains of amino acids, the building blocks of proteins, and they possess the ability to…

Biomolecules · Quantitative Biology 2024-01-05 Zeynep Hilal Kilimci , Mustafa Yalcin

Tumor protein P53 is believed to be involved in over half of human cancers cases, the prediction of malignancies plays essential roles not only in advance detection for cancer, but also in discovering effective prevention and treatment of…

Computational Engineering, Finance, and Science · Computer Science 2013-10-09 Ayad Ghany Ismaeel

A key focus in current cancer research is the discovery of cancer biomarkers that allow earlier detection with high accuracy and lower costs for both patients and hospitals. Blood samples have long been used as a health status indicator,…

Genomics · Quantitative Biology 2018-12-24 Xi Chen , Jin Xie , Qingcong Yuan

Cancer is a disease involving many genes, consequently it has been difficult to design anticancer drugs that are efficacious over a broad range of cancers. The robustness of cellular responses to gene knockout and the need to reduce…

Cell Behavior · Quantitative Biology 2013-11-12 Raul Isea , Johan Hoebeke , Rafael Mayo , Fernando Alvarez , David S. Holmes

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 -…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Ruchi Chauhan , PK Vinod , CV Jawahar

The prediction plays the important role in detecting efficient protection and therapy of cancer. The prediction of mutations in gene needs a diagnostic and classification, which is based on the whole database (big dataset), to reach…

Machine Learning · Computer Science 2016-08-10 Ayad Ghany Ismaeel , Dina Yousif Mikhail

Molecular and genomic properties are critical in selecting cancer treatments to target individual tumors, particularly for immunotherapy. However, the methods to assess such properties are expensive, time-consuming, and often not routinely…

Image and Video Processing · Electrical Eng. & Systems 2022-11-29 Heather D. Couture

Aptamers are chemically produced oligonucleotides, able to bind a variety of targets such as drugs, proteins and pathogens with high sensitivity and selectivity. Therefore, aptamers are largely employed for producing label-free biosensors,…

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…

Machine Learning · Computer Science 2021-11-30 Sheetal Rajpal , Ankit Rajpal , Manoj Agarwal , Naveen Kumar

Characterization of B-cell protein epitope and developing critical parameters for its identification is one of the long standing interests. Using Layers algorithm, we introduced the concept of anchor residues to identify epitope. We have…

Biomolecules · Quantitative Biology 2016-11-30 Naga Bhushana Rao . K , Ranjit Prasad Bahadur

Cancer cell lines have frequently been used to link drug sensitivity and resistance with genomic profiles. To capture genomic complexity in cancer, the Cancer Genome Project (CGP) (Garnett et al., 2012) screened 639 human tumor cell lines…

Applications · Statistics 2017-02-09 Hongmei Liu , J. Sunil Rao

The current state of cancer therapeutics has been moving away from one-size-fits-all cytotoxic chemotherapy, and towards a more individualized and specific approach involving the targeting of each tumor's genetic vulnerabilities. Different…

Biomolecules · Quantitative Biology 2019-07-02 Niranjan Balachandar , Christine Liu , Winston Wang

Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to…

Numerous epidemiological studies suggest febrile infections could confer long-term immunity to certain types of cancers, though the precise mechanisms for this phenomenon remain unclear. Systemic heat-shock responses to fever may be key to…

Genomics · Quantitative Biology 2023-06-26 Amin Zia

The early detection of cancer is a challenging problem in medicine. The blood sera of cancer patients are enriched with heterogeneous secretory lipid bound extracellular vesicles (EVs), which present a complex repertoire of information and…

Other Quantitative Biology · Quantitative Biology 2022-02-15 Abicumaran Uthamacumaran , Samir Elouatik , Mohamed Abdouh , Michael Berteau-Rainville , Zu-hua Gao , Goffredo Arena

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…

Genomics · Quantitative Biology 2019-10-16 Maxim Vaysburd

Acute Lymphoblastic Leukemia (ALL) is one of the most common types of childhood blood cancer. The quick start of the treatment process is critical to saving the patient's life, and for this reason, early diagnosis of this disease is…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Amirhossein Askari Farsangi , Ali Sharifi-Zarchi , Mohammad Hossein Rohban

Antibodies are widely used in life-sciences and medical therapy. Yet, broadly applicable methods are missing to determine, in the biological system of choice, antibody specificity and its quantitative contribution to e.g. immunofluorescence…

Quantitative Methods · Quantitative Biology 2024-07-09 Dominik Tschimmel , Momina Saeed , Maria Milani , Steffen Waldherr , Tim Hucho

Early detection of cancer is essential for timely diagnosis and improved patient outcomes. Among emerging technologies, intra-body nanoscale communication offers an innovative solution to identify molecular cues within the human…

Emerging Technologies · Computer Science 2026-03-12 Abdollah Rezagholi , Sergi Abadal , Filip Lemic , Eduard Alarcon , Ethungshan Shitiri
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