Results 81 to 90 of about 130,504 (277)
These findings elucidate the innovative role of HIC1 as a transcriptional activator in GC, driving the initiation of pyroptosis and enhancing CD8+ T cell infiltration, which has certain novelty and creative significance. Collectively, targeting HIC1 can present an appealing immunotherapeutic strategy to improve outcomes in GC patients.
Mengjie Kang+4 more
wiley +1 more source
Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
Data‐driven inverse molecular design (IMD) is a promising approach to discovering new molecules with desired properties. Despite the remarkable progress, existing IMD methods lag behind in terms of trustworthiness, as indicated by their misalignment with the ground‐truth function that models the molecular dynamics.
Kevin Tirta Wijaya+3 more
wiley +1 more source
The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. To date, the most common prediction strategies are based upon machine learning or other quantitative structure ...
E Tejera+6 more
doaj +1 more source
Genomic Variation Underpins Genetic Divergence and Differing Salt Resilience in Sesbania bispinosa
Sesbania, a leguminous halophyte, thrives in saline soils. Comparative genomics reveals key genomic variations—particularly chromosomal inversions—are identified as contributors to population differentiation and salt resilience. These findings advance the understanding of genomic variation driving evolution and phenotypic differentiation and offer ...
Gai Huang+13 more
wiley +1 more source
An Investigation of Term Weighting and Feature Selection Methods for Sentiment Analysis
Sentiment analysis automatically classifies the opinions, which are expressed in a document, usually as positive or negative. A review document in general, reflects its authorâs opinion about the objects mentioned in the text.
Tuba Parlar, Selma AyÅe Ãzel
doaj
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai+8 more
wiley +1 more source
Knowledge-based query system for the critical minerals
Critical minerals are increasingly used in advanced, modern technologies. Exploration for these minerals require efficient mechanisms to search for the latest geological knowledge about the petrogenesis and spatial distribution of these essential ...
Armita Davarpanah+2 more
doaj
This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen+9 more
wiley +1 more source
We propose a framework for a cloud-based application of an image classification system that is highly accessible, maintains data confidentiality, and robust to incorrect training labels. The end-to-end system is implemented using Amazon Web Services (AWS)
Wei Lun Koh+2 more
doaj
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding+16 more
wiley +1 more source