Results 71 to 80 of about 274 (150)
Abstract Hierarchical agglomerative clustering is a useful analysis technique which allows for a level of stability, interpretability and flexibility not available in other similar techniques such as K‐means, density‐based clustering or positive matrix factorization.
Colin J. Lee +2 more
wiley +1 more source
Bifrost: highly parallel construction and indexing of colored and compacted de Bruijn graphs. [PDF]
Holley G, Melsted P.
europepmc +1 more source
Nanoscale 3D spatial addressing and valence control of quantum dots using wireframe DNA origami. [PDF]
Chen C +9 more
europepmc +1 more source
ABSTRACT The increasing availability of GPU accelerated architectures for high‐performance computing presents new opportunities for scientific software but also challenges due to the complexity of porting legacy codes to accelerator platforms. Directive‐based programming models such as OpenACC offer a minimally intrusive pathway to exploit GPU ...
Carlos Junqueira‐Junior +3 more
wiley +1 more source
Cache: Utilizing ultra-large library screening in Rosetta to identify novel binders of the WD-repeat domain of Leucine-Rich Repeat Kinase 2. [PDF]
Liessmann F +5 more
europepmc +1 more source
Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications. [PDF]
Płaza M +5 more
europepmc +1 more source
Phylogenetic reconstructions and morphological analysis robustly support the monophyletic status of tribes specializing in grass and sedge habitats. Grass‐ and sedge‐specializing groups diverged from nonspecializing groups around 95.85 million years ago (Ma) during the Cretaceous period, preceding the origin of grasses and sedges (76–88 Ma), indicating
Lili Tian +6 more
wiley +1 more source
Patch-Based Ray Tracing in NanoShaper Boosts Molecular Surface Computation. [PDF]
Mazzeo MD +3 more
europepmc +1 more source
U‐KAN for Multi‐Nuclei Segmentation Using an Adaptive Sliding Window Approach
ABSTRACT Accurate segmentation of nuclei in histopathological images is critical for improving diagnostic precision and advancing computational pathology. Deep learning models employed for this task must effectively handle structural variability while offering transparent and interpretable predictions to ensure clinical reliability.
Usman Ali +3 more
wiley +1 more source
CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13. [PDF]
Herasymenko O +103 more
europepmc +1 more source

