Results 211 to 220 of about 988,863 (326)
Decoding the mind of self-compassion through a topic modeling analysis of 9000+ free-text narratives. [PDF]
Okano H, Nomura M.
europepmc +1 more source
Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports
Jennifer Sleeman +3 more
openalex +2 more sources
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala +15 more
wiley +1 more source
Thirty years of public speaking anxiety research: topic modeling and semantic trend forecasting using LDA-Word2Vec integration. [PDF]
Lin M, Sun Y, Chen L.
europepmc +1 more source
Discovering routines from large-scale human locations using probabilistic topic models
Katayoun Farrahi, Daniel Gática-Pérez
openalex +2 more sources
Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung +17 more
wiley +1 more source
Exploring the latent space of transcriptomic data with topic modeling. [PDF]
Valle F, Caselle M, Osella M.
europepmc +1 more source
Topic Dependent Language Modelling For Spoken Term Detection
Shahram Kalantari +3 more
openalex +1 more source
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon +9 more
wiley +1 more source

