Results 141 to 150 of about 3,652,766 (290)
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
DHF: A Generative AI Approach to Data-Efficient Signal Separation for Wearable Embedded Systems. [PDF]
Saffarpour M +5 more
europepmc +1 more source
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Window Length Selection and Signal-Noise Separation and Reconstruction in Singular Spectrum Analysis [PDF]
In Singular Spectrum Analysis (SSA) window length is a critical tuning parameter that must be assigned by the practitioner. This paper provides a theoretical analysis of signal-noise separation and reconstruction in SSA that can serve as a guide to ...
Md Atikur Rahman Khan, D.S. Poskitt
core
Optimized weight spectrum method for interference signal separation in FSO communication. [PDF]
Duan Z, Qiang S, Zhao H, Wang Y.
europepmc +1 more source
A Novel Signal Separation and De-Noising Technique for Doppler Radar Vital Signal Detection. [PDF]
Li X +5 more
europepmc +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Guiding blind signal separation in X-ray absorption spectroscopy using supervised machine learning. [PDF]
Timoshenko J +6 more
europepmc +1 more source
A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization. [PDF]
Wang H, Wang M, Li J, Song L, Hao Y.
europepmc +1 more source
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani +9 more
wiley +1 more source

