Results 51 to 60 of about 752,571 (301)
MicroRNAs and epithelial-mesenchymal transition in prostate cancer. [PDF]
, 2016 Prostate cancer (PCa) is a leading cause of male cancer-related deaths. A significant fraction of prostate tumors are very aggressive, often metastasizing to bone, causing significant morbidity and mortality.
Bucay, Nathan +4 more
core +1 more source
A survey on deep learning for polyp segmentation: techniques, challenges and future trends
Visual IntelligenceEarly detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp regions.
Jiaxin Mei +6 more
doaj +1 more source
Principal Component Analysis of Molecular Clouds: Can CO reveal the dynamics? [PDF]
, 2014 We use Principal Component Analysis (PCA) to study the gas dynamics in numerical simulations of typical MCs. Our simulations account for the non-isothermal nature of the gas and include a simplified treatment of the time-dependent gas chemistry. We model
Bertram, Erik +5 more
core +1 more source
Efficient fair PCA for fair representation learning [PDF]
arXiv, 2023 We revisit the problem of fair principal component analysis (PCA), where the goal is to learn the best low-rank linear approximation of the data that obfuscates demographic information. We propose a conceptually simple approach that allows for an analytic solution similar to standard PCA and can be kernelized.
arxiv
Molecular Oncology, EarlyView.Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink +6 more
wiley +1 more source
Phenotypic characterization of human prostatic stromal cells in primary cultures derived from human tissue samples [PDF]
, 2013 Emerging evidence has shown that the tumor microenvironment plays a crucial role in prostate cancer (PCa) development and progression. However, the mechanism(s) through which stromal cells regulate epithelial cells and the differences among prostatic ...
Clemente, Luigi Di +7 more
core +1 more source
Molecular Oncology, EarlyView.We propose an efficient strategy to suppress ALK inhibitor (ALKi) resistance. By analyzing transcriptome data, we identified emetine as a potential inhibitor. We demonstrated that emetine exhibited effectiveness in inhibiting the growth of ALKi‐resistant cells, and further interpreted its impact on the resistant signatures through drug‐induced RNA ...
Sang‐Min Park +8 more
wiley +1 more source
Water Supply, 2022 Global warming influencing regional climate is playing a significant role in triggering recurrent drought. The current study demonstrates a PCA (Principal Component Analysis) driven watershed prioritization in a part of Koel river basin by runoff ...
Stuti Chaudhary, Arvind Chandra Pandey
doaj +1 more source
Performance monitoring of MPC based on dynamic principal component analysis
, 2011 A unified framework based on the dynamic principal component analysis (PCA) is proposed for performance monitoring of constrained multi-variable model predictive control (MPC) systems.
Cao, Yuping +3 more
core +1 more source
Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis [PDF]
arXiv, 2023 A wireless federated learning system is investigated by allowing a server and workers to exchange uncoded information via orthogonal wireless channels. Since the workers frequently upload local gradients to the server via bandwidth-limited channels, the uplink transmission from the workers to the server becomes a communication bottleneck.
arxiv