Results 121 to 130 of about 277,677 (243)
Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines
Genome Medicine, 2017 Background Onco-proteogenomics aims to understand how changes in a cancer’s genome influences its proteome. One challenge in integrating these molecular data is the identification of aberrant protein products from mass-spectrometry (MS) datasets, as ...
Javier A. Alfaro +5 more
doaj +1 more source
Prediction of Hereditary Cancers Using Neural Networks [PDF]
arXiv, 2021 Family history is a major risk factor for many types of cancer. Mendelian risk prediction models translate family histories into cancer risk predictions based on knowledge of cancer susceptibility genes. These models are widely used in clinical practice to help identify high-risk individuals.
arxiv
A Cancer Biotherapy Resource [PDF]
arXiv, 2015 Cancer Biotherapy (CB), as opposed to cancer chemotherapy, is the use of macromolecular, biological agents instead of organic chemicals or drugs to treat cancer. Biological agents usually have higher selectivity and have less toxic side effects than chemical agents. The I.S.B.T.C., being the only major information database for CB, seems lacking in some
arxiv
Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks [PDF]
arXiv, 2023 The vast amount of sequencing data presently available allow the scientific community to explore a range of genetic variables that may drive and progress cancer. A myriad of predictive tools has been proposed, allowing researchers and clinicians to compare and prioritize driver genes and mutations and their relative pathogenicity.
arxiv
Using data mining techniques for diagnosis and prognosis of cancer disease [PDF]
arXiv, 2012 Breast cancer is one of the leading cancers for women in developed countries including India. It is the second most common cause of cancer death in women. The high incidence of breast cancer in women has increased significantly in the last years. In this paper we have discussed various data mining approaches that have been utilized for breast cancer ...
arxiv
New Approach for Prediction Pre-cancer via Detecting Mutated in Tumor Protein P53 [PDF]
International Journal of Scientific & Engineering Research, Volume
4,Issue 10, October 2013 ISSN 2229-5518, 2013 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 cancer, till now there isn't approach be able in prediction the mutated in tumor protein P53 which is caused high ...
arxiv
Environmental and Molecular Mutagenesis, EarlyView.Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons +17 more
wiley +1 more source
Mutant p53R270H drives altered metabolism and increased invasion in pancreatic ductal adenocarcinoma [PDF]
, 2018 Pancreatic cancer is characterized by nearly universal activating mutations in KRAS. Among other somatic mutations, TP53 is mutated in more than 75% of human pancreatic tumors.
Daylan, Ayse Ece Cali +20 more
core +1 more source
Hyper-Heuristic Algorithm for Finding Efficient Features in Diagnose of Lung Cancer Disease [PDF]
J. Basic Appl. Sci. Res, 2013. 3(10): p. 134-140, 2015 Background: Lung cancer was known as primary cancers and the survival rate of cancer is about 15%. Early detection of lung cancer is the leading factor in survival rate. All symptoms (features) of lung cancer do not appear until the cancer spreads to other areas. It needs an accurate early detection of lung cancer, for increasing the survival rate. For
arxiv
QuaDMutEx: quadratic driver mutation explorer [PDF]
, 2017 Background Somatic mutations accumulate in human cells throughout life. Some may have no adverse consequences, but some of them may lead to cancer. A cancer genome is typically unstable, and thus more mutations can accumulate in the DNA of cancer cells ...
Arodz, Tomasz Jakub, Yahya, Bokhari
core +1 more source