Results 71 to 80 of about 237,519 (286)
KPPepGen is a knowledge‐aware prompt diffusion model for the controllable generation of pathogen‐specific AMPs. It outperforms existing methods and is capable of simultaneously generating peptides for distinct pathogens, demonstrating superior performance with favorable properties and docking efficacy.
Yongkang Wang +4 more
wiley +1 more source
Path querying on acyclic graphs using Boolean grammars
Graph data models are widely used in different areas of computer science such as bioinformatics, graph databases, social networks and static code analysis. One of the problems in graph data analysis is querying for specific paths.
Ekaterina Nikolaevna Shemetova +1 more
doaj +1 more source
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
A formal theory of conceptual modeling universals [PDF]
Conceptual Modeling is a discipline of great relevance to several areas in Computer Science. In a series of papers [1,2,3] we have been using the General Ontological Language (GOL) and its underlying upper level ontology, proposed in [4,5], to evaluate ...
Guizzardi, Giancarlo +2 more
core +3 more sources
ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity
The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng +9 more
wiley +1 more source
B‐EPIC: A Transformer‐Based Language Model for Decoding B Cell Immunodominance Patterns
B‐Epic: Achieving high‐accuracy B cell epitope prediction through Transformer architecture. Comprehensive validation demonstrates B‐Epic's robust performance across diverse datasets. B‐Epic facilitates vaccine development for H. pylori and EBV, addressing critical public health challenges.
Jun‐Ze Liang +16 more
wiley +1 more source
Abstract State Machines 1988-1998: Commented ASM Bibliography [PDF]
An annotated bibliography of papers which deal with or use Abstract State Machines (ASMs), as of January 1998.Comment: Also maintained as a BibTeX file at http://www.eecs.umich.edu ...
Boerger, Egon, Huggins, James K.
core +3 more sources
An integrated strategy combining a mitochondria‐targeted fluorescent probe set and an AI framework enables simultaneous analysis of mitochondrial morphology and function at the single organelle level. By fusing multi‐parametric features, machine learning classification accurately distinguishes individual mitochondria under hypoxia‐related conditions ...
Yang Ding +9 more
wiley +1 more source
This paper explores the computational challenges of clique transversal problems in d-degenerate graphs, which are commonly encountered across theoretical computer science and various network applications. We examine d-degenerate graphs to highlight their
Chuan-Min Lee
doaj +1 more source
Enhancer Reprogramming Reveals the Tumorigenic Role of PTPRZ1 in Lung Squamous Cell Carcinoma
Lung squamous cell cancer (LUSC) is deadly due to lack of good treatments. Here, multiomics techniques are applied to LUSC tumors and find thousands of cancer‐specific enhancers controlling key genes. Interestingly, the gene PTPRZ1 is identified as a critical oncogene driven by the LUSC‐acquired enhancers. PTPRZ1 is activated by MDK, fueling cancer via
Yong‐Qiang Ning +11 more
wiley +1 more source

