Results 151 to 160 of about 21,828,896 (392)
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani +14 more
wiley +1 more source
Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla +5 more
wiley +1 more source
Photorefractive Materials For Optical Computing And Image Processing [PDF]
George Rakuljic, Amnon Yariv
openalex +1 more source
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
Background and Objective: The intricate connection between daily behaviours and health necessitates robust monitoring, particularly with the advent of Internet of Things (IoT) systems.
Mohsen Shirali +4 more
doaj +1 more source
Crystallographic computing on an attached array processor [PDF]
William Furey, B. C. Wang, M. Sax
openalex +1 more source
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
mir‐196a promotes Esophagus Adenocarcinoma aggressiveness. On one hand, mir‐196a targets the valosin‐containing protein (VCP) mRNA, causing the accumulation of c‐MYC protein that leads to high amounts of TERT. On the other hand, mir‐196a targets the inhibitor of NFκB (NFKBIA).
Jesús García‐Castillo +8 more
wiley +1 more source
Report on workshop on high performance computing and communications for grand challenge applications: computer vision, speech and natural language processing, and artificial intelligence [PDF]
Benjamin W. Wah +23 more
openalex +1 more source

