Results 231 to 240 of about 115,502 (279)
Editorial: Perspectives on crop response to abiotic stresses: function of lipid components. [PDF]
Liu F.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Research in PCORnet®: One Researcher's Journey. [PDF]
Pagidipati NJ.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Tiny giants in a big ocean. [PDF]
Queiroz VF, Jivaji AM, Aylward FO.
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Learning from Yeast-How YEATS Domain Proteins Read Epigenetic Marks Driving Oncogenic Programs in Gastrointestinal Tumors. [PDF]
Canu V, Blandino G.
europepmc +1 more source
OrnAsia: A dataset of asian ornaments for image classification and cultural identification. [PDF]
Nayeem MD +3 more
europepmc +1 more source

