Results 81 to 90 of about 232,386 (277)
Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Role of normalization in spectral clustering for stochastic blockmodels
, 2015 Spectral clustering is a technique that clusters elements using the top few eigenvectors of their (possibly normalized) similarity matrix. The quality of spectral clustering is closely tied to the convergence properties of these principal eigenvectors ...
Bickel, Peter J., Sarkar, Purnamrita
core +1 more source
Scientific Reports, 2017 A major challenge in clinical cancer research is the identification of accurate molecular subtype. While unsupervised clustering methods have been applied for class discovery, this clustering method remains a bottleneck in developing accurate method for ...
Mingguang Shi, Guofu Xu
doaj +1 more source
Robust Spectral Clustering via Matrix Aggregation
IEEE Access, 2018 Spectral clustering has become one of the most popular clustering algorithms in recent years. In real-world clustering problems, the data points for clustering may have considerable noise.
Lei Du, Yan Pan, Xiaonan Luo
doaj +1 more source
Spectral clustering based on high‐frequency texture components for face datasets
IET Image Processing, 2021 Spectral clustering is one of the most widely used technologies for clustering tasks, which represents data as a weighted graph, and aims to find an appropriate way to cut the graph apart in order to categorize the raw data.
Zexiao Liang +3 more
doaj +1 more source
Molecular Oncology, EarlyView.CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir +12 more
wiley +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a fixed task set, which cannot incorporate with a new spectral clustering task without accessing to previously learned tasks.
Sun, Gan +4 more
openaire +3 more sources
Spectral camera clustering [PDF]
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009 We propose an algorithm for clustering large sets of images of a scene into smaller subsets covering different parts of the scene suitable for 3D reconstruction. Unlike the canonical view selection of [13], we do not focus only on the visibility information, but introduce an alternative similarity measure which takes into account the relative camera ...
Alexander Ladikos +2 more
openaire +1 more source
Molecular Oncology, EarlyView.A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He +8 more
wiley +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Molecular Oncology, EarlyView.Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source