Results 71 to 80 of about 468,573 (268)
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
A survey on canonical correlation analysis based multi-view learning
智能科学与技术学报, 2022 Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets.Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to maximize the correlation of different views.The traditional CCA can only ...
Chenfeng GUO, Dongrui WU
doaj
A whitening approach to probabilistic canonical correlation analysis for omics data integration
BMC Bioinformatics, 2019 Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance.
Takoua Jendoubi, Korbinian Strimmer
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Molecular Oncology, EarlyView.Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis
BMC Genomics, 2019 Background Alternative polyadenylation (APA) has emerged as a pervasive mechanism that contributes to the transcriptome complexity and dynamics of gene regulation. The current tsunami of whole genome poly(A) site data from various conditions generated by
Wenbin Ye +6 more
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Rotated canonical correlation analysis for multilingual corpora [PDF]
, 2006 This paper aims at proposing the joint use of Canonical Correlation Analysis and Procrustes Rotations (RCA), when we deal with a text and its translation into another language.
BALBI, SIMONA, M. Misuraca
core
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Research on the Relationship between Well-being and Personality Traits in the Elderly Based on Canonical Correlation Analysis [PDF]
Zhongguo quanke yixueBackground With the population ages, the mental health of the elderly has become a hot topic of concern for the whole society. Previous studies have shown that mental health problems in the elderly are closely related to well-being, while personality ...
ZHOU Yujie, LIU Huanting, WAN Chonghua, GAN Qihui, XIAO Junhui, LIU Yuxi
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Molecular Oncology, EarlyView.A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
A Jacobi–Davidson Method for Large Scale Canonical Correlation Analysis
Algorithms, 2020 In the large scale canonical correlation analysis arising from multi-view learning applications, one needs to compute canonical weight vectors corresponding to a few of largest canonical correlations.
Zhongming Teng, Xiaowei Zhang
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