Results 281 to 290 of about 919,275 (319)

Immunotherapeutic Strategies for Prostate Cancer: A Comprehensive Review. [PDF]

Cancers (Basel)
Flores-Islas AK, Rico-Fuentes C, Sierra-Díaz E, García-Chagollán M, Pereira-Suárez AL, Zepeda-Nuño JS, Moreno-Ortiz JM, Ramírez-de-Arellano A.   +7 more
europepmc   +1 more source

Methylation-induced silencing of AZGP1 enhances prostate cancer metastasis by stimulating tumoral glycolysis. [PDF]

Cell Mol Biol Lett
Li L, Luo J, Zhao L, Tian L, Wang J, Cheng Y, Li X.   +6 more
europepmc   +1 more source

Loss of UFL1 confers enzalutamide resistance of prostate tumors by regulating METTL16-mediated m6A modification of EEF1A1 mRNA. [PDF]

Int J Biol Sci
Wu X, Gao H, Zhuang Q, Li F, Feng X, Shao N, Zhang W, Zhang Y, Zhang X.   +8 more
europepmc   +1 more source

The Genitourinary Pathology Society and International Society of Urological Pathology Joint Expert Consultation Recommendations on intraductal carcinoma of the prostate. [PDF]

Histopathology
Shah RB, Varma M, Zhou M, Paner GP, Amin MB, Berney DM, Cheng L, Deng FM, Downes M, Eggener S, Ehdaie B, Epstein JI, Evans A, Fine SW, Greenland N, Guo C, Han B, Hirsch MS, Izkowski KA, Kench JG, Lotan TL, Magi-Galluzzi C, Miyamoto H, Nguyen JK, Tsuzuki T, van der Kwast TH, van Leenders GJ, Williamson SR, Wobker SE, Wu CL, Yang X, Kristiansen G.   +31 more
europepmc   +1 more source

eLife Assessment: RETRACTED: Biases of Principal Component Analysis (PCA) in Physical Anthropology Studies Require a Reevaluation of Evolutionary Insights

Ariel D. Chipman
openalex   +1 more source

The castration-resistant prostate cancer-associated SNP rs11067228 facilitates neuroendocrine differentiation through an enhancer-mediated chromatin interaction with SRRM4. [PDF]

Int J Biol Sci
Jiang Y, Zhao Z, Li P, Su G, Qian Y, Zhao Y, Wang B, Bai Y, Zhang L, Zhao Z, Shi J, Lu W.   +11 more
europepmc   +1 more source

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PCA Sparsified

SIAM Journal on Optimization, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fatih S. Aktaş, Mustafa Ç. Pinar
openaire   +1 more source

1D-PCA, 2D-PCA to nD-PCA

18th International Conference on Pattern Recognition (ICPR'06), 2006
In this paper, we first briefly reintroduce the 1D and 2D forms of the classical principal component analysis (PCA). Then, the PCA technique is further developed and extended to an arbitrary n-dimensional space. Analogous to 1D- and 2D-PCA, the new nD-PCA is applied directly to n-order tensors (n ges 3) rather than 1-order tensors (1D vectors) and 2 ...
null Hongchuan Yu, M. Bennamoun
openaire   +1 more source