Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Clarifying data interpretation and therapeutic classification in ADC clinical trials for lung cancer. [PDF]
Sun M, Zang D, Chen J.
europepmc +1 more source
Data interpretation raises risk for performance depression in broiler production - Reply. [PDF]
Millecam J +3 more
europepmc +1 more source
This research protocol outlines a workflow for nuclear magnetic resonance (NMR)‐based metabolomics in the agri‐food sector. Using two case studies—strawberry leaves (solid matrix) and wine (liquid matrix)—it details the procedures for sample preparation, data acquisition, and processing.
Andrea Fernández‐Veloso +4 more
wiley +1 more source
Optimizing Sensor Data Interpretation via Hybrid Parametric Bootstrapping. [PDF]
Golovko VV.
europepmc +1 more source
MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification. [PDF]
Moon S, Lee H.
europepmc +1 more source
Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig +7 more
wiley +1 more source
Correction: MWENA: a novel sample re-weighting-based algorithm for disease classification and data interpretation using extracellular vesicles omics data. [PDF]
Liao S +8 more
europepmc +1 more source
Wastewater surveillance for SARS-CoV-2 to support return to campus: Methodological considerations and data interpretation. [PDF]
Kapoor V +5 more
europepmc +1 more source

