Results 91 to 100 of about 1,107,668 (334)
A novel verifiable weighted threshold quantum secret sharing scheme
Yumin Dong, Yi Luo, Yanying Fu
openalex +1 more source
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
Node synchronization of viterbi decoders using state metrics [PDF]
The concept of node synchronization using state metrics is investigated. The branch metrics are integrated over a fixed time interval and the results are compared to the detection threshold.
Cheng, U.
core +1 more source
Cotargeting TREM2 and IL2 pathways triggers multipronged anticancer immunity
Von Locquenghien et al. report that MiTE‐144, a triggering receptor expressed on myeloid cells 2 (TREM2) blocking antibody fused to interleukin‐2 (IL2) variant with tumour microenvironment restricted activation, demonstrates superior anticancer efficiency in a preclinical setting.
Isaure Vanmeerbeek +2 more
wiley +1 more source
Construction of dynamic threshold schemes
An (m, n) threshold scheme is to decompose a shared secret into n shares in such a way that the shared secret cannot be reclaimed unless any m shares are collected. A new dynamic threshold scheme that allows the shared secret to be updated without changing the shares is proposed.
H.-M. Sun, S.-P. Shieh
openaire +1 more source
Variable Flavor Number Scheme for Final State Jets
We discuss a variable flavor number scheme (VFNS) for final state jets which can account for the effects of arbitrary finite quark masses in inclusive jet observables.
Hoang, Andre H. +2 more
core +2 more sources
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source

