Results 51 to 60 of about 373,174 (293)
Various methods for mining association rules atmultiple conceptual levels focusing on different sets of dataand applying different thresholds at different levels havebeen proposed in literature. These are ML_T2L1,ML_T1LA, ML_TML1, and ML_T2LA.
Suraj K Srivastava +2 more
doaj +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
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Learning with hidden variables
Learning and inferring features that generate sensory input is a task continuously performed by cortex. In recent years, novel algorithms and learning rules have been proposed that allow neural network models to learn such features from natural images ...
Roudi, Yasser, Taylor, Graham
core +1 more source
Conceptual Understanding through Efficient Automated Design of Quantum Optical Experiments
Artificial intelligence (AI) is a potentially disruptive tool for physics and science in general. One crucial question is how this technology can contribute at a conceptual level to help acquire new scientific understanding.
Mario Krenn +3 more
doaj +1 more source
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
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
On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
The evolution of philosophical views on art is interwoven with trajectories of accelerating technological amelioration. In the emergence of generative algorithms there is a need for making sense of modern technologies that step in a realm previously ...
Antonio Pošćić, Gordan Kreković
doaj +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
An Initial Assessment of the GOES Microburst Windspeed Potential Index [PDF]
A suite of products has been developed and evaluated to assess hazards presented by convective downbursts to aircraft in flight derived from the current generation of Geostationary Operational Environmental Satellite.
Pryor, Kenneth L.
core

