Results 81 to 90 of about 1,887,808 (391)
Molecular Oncology, Volume 19, Issue 4, Page 1265-1280, April 2025.Dinaciclib blocks CDK12 activity, leading to downregulation of BRCA1, and probably other proteins involved in homologous recombination, promoting nonhomologous end joining. In this scenario, the presence of ionising radiation triggers a p53‐dependent senescent response that yields increased radiosensitivity. Pan‐cyclin‐dependent‐kinase (CDK) inhibitors
Natalia García Flores +14 more
wiley +1 more source
Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization
Journal of Algorithms & Computational Technology, 2018 Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper ...
Xiaoning Gu +5 more
doaj +1 more source
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Kanker payudara merupakan tumor ganas yang tumbuh pada sel-sel payudara dan dapat menyebar di antara jaringan atau organ di sekitar payudara dan berpindah ke bagian tubuh lainnya.
Rina Resmiati, Toni Arifin
doaj +1 more source
Support vector machines and Radon's theorem [PDF]
arXiv, 2020 A support vector machine (SVM) is an algorithm that finds a hyperplane which optimally separates labeled data points in $\mathbb{R}^n$ into positive and negative classes. The data points on the margin of this separating hyperplane are called support vectors.
arxiv
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions
MathematicsThe kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.
Ke-Lin Du +4 more
doaj +1 more source
Predicting Pancreatic Cancer Using Support Vector Machine [PDF]
, 2017 This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core +1 more source
Component Outage Estimation based on Support Vector Machine
, 2018 Predicting power system component outages in response to an imminent hurricane plays a major role in preevent planning and post-event recovery of the power system.
Eskandarpour, Rozhin, Khodaei, Amin
core +1 more source
Molecular Oncology, Volume 19, Issue 5, Page 1452-1470, May 2025.Pancreatic ductal adenocarcinoma (PDAC) is a disease with very poor prognosis due to therapeutic limitations. We investigated the antitumor effects of cystatin A (CSTA) in PDAC murine models. We are first to confirm that CSTA enhances T helper type 1‐mediated antitumor effects through promotion of dendritic cells and M1 macrophage activity. CSTA can be
Alessandro Nasti +8 more
wiley +1 more source
SUPPORT VECTOR MACHINE FOR HYDRAULIC SUPPORT RELIABILITY PREDICTION
Jixie qiangdu, 2017 In order to enhance the competitiveness of the domestic hydraulic support. It is imperative to carry out reliability engineering. The reliability evaluation of the hydraulic support in service can effectively provide reference for the development and ...
DING Fei +3 more
doaj