Results 71 to 80 of about 239,550 (307)
Feature Selection via Correlation Coefficient Clustering
, 2011 Feature selection is a fundamental problem in machine learning and data mining. How to choose the most problem-related features from a set of collected features is essential.
Hsu, Hui-Huang; Hsieh, Cheng-Wei
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Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
Molecular Oncology, EarlyView.In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Molecular Oncology, EarlyView.Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
Graph theoretical analysis of resting magnetoencephalographic functional connectivity networks
Frontiers in Computational Neuroscience, 2013 Complex networks have been observed to comprise small-world properties, believed to represent an optimal organization of local specialization and global integration of information processing at reduced wiring cost.
Lindsay eRutter +7 more
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A Name Recognition Method Based on Clustering Coefficient [PDF]
Jisuanji gongcheng, 2016 In many application fields of Chinese text analysis, name recognition is a widespread fundamental issue. Although there are several kinds of name recognition methods, they are mainly based on corpus statistics and language rules.
ZENG Jianping,LIU Hua
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Molecular Oncology, EarlyView.Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Internet complex network separation degree analysis based on hops
Tongxin xuebao, 2005 At the first the infection of the same separation degree to different network’s transmission was discussed, then the infection of different separation degree to same network’s transmission was discussed by giving an example of small world network ...
SU Wei-ji, ZHAO Hai, XU Ye, ZHANG Wen-bo
doaj
Clustering coefficient and path length.
, 2014 Explanation of the clustering coefficient and path length using a schematic whole-brain binary network representation of nodes (circles) and binary edges (black lines).
Willemiek J. E. M. Zweiphenning (672491) +5 more
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