Results 231 to 240 of about 406,461 (313)
A Sparse Hierarchical <i>hp</i>-Finite Element Method on Disks and Annuli. [PDF]
Papadopoulos IPA, Olver S.
europepmc +1 more source
Corrigendum: “Some factorizations of 2ⁿ±1 and related results” [PDF]
John Brillhart, J. L. Selfridge
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TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach+8 more
wiley +1 more source
Biomechanical Modeling, Muscle Synergy-Based Rehabilitation Assessment, and Real-Time Fatigue Monitoring for Piano-Integrated Upper Limb Therapy. [PDF]
Zhao X+6 more
europepmc +1 more source
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche+8 more
wiley +1 more source
Deep learning-based multi-criteria recommender system for technology-enhanced learning. [PDF]
Salau L+3 more
europepmc +1 more source
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
R. Salakhutdinov, A. Mnih
semanticscholar +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Matrix factorizations of determinants and permanents
W. B. Jurkat, H. J. Ryser
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A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul+11 more
wiley +1 more source