Results 261 to 270 of about 113,519 (298)

CluVar: clustering of variants using autoencoder for inferring cancer subclones from single cell RNA sequencing data. [PDF]

Brief Bioinform
Kim CW, Park H, Kim D, Seong Y, Kwon M, Kim J.   +5 more
europepmc   +1 more source

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

Integrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang, Shipeng Hu, Hengrui Wang, Jizheng Yi, Guoxiong Zhou, Xiangyu Shen, Weixiong Peng, Zhishu Xiao, Aibin Chen   +8 more
wiley   +1 more source

Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression. [PDF]

ACS Omega
Xu J, Yu B, Mo C, Fang K, Lin X.
europepmc   +1 more source

Does ecology predict taxonomy? How ecological differentiation can be used to spatially infer intraspecific diversity

Methods in Ecology and Evolution, EarlyView.
Abstract Assessing the true dimension of biodiversity is a major challenge. Many species hide within them a diversity that is now being uncovered using molecular data. However, population genetic studies tend to be resource‐consuming and more difficult to apply to a broader range of taxa, limiting scalability.
Armand Rausell‐Moreno, Virgilio Gómez‐Rubio, Jesús Muñoz   +2 more
wiley   +1 more source

Fusion of EEG feature extraction and CNN-MSTA transformer emotion recognition classification model. [PDF]

Sci Rep
Chu W, Wen H, Liu H, Zhang X, Guo J.
europepmc   +1 more source

Artificial intelligence streamlines scientific discovery of drug–target interactions

British Journal of Pharmacology, EarlyView.
Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
wiley   +1 more source

Dual contrastive learning-based reconstruction for anomaly detection in attributed networks. [PDF]

PLoS One
Rafieizadeh H, Zare H, Ghassemi Parsa M, Cherifi H.   +3 more
europepmc   +1 more source

The use of different types of networks, alone and in combination, for drug target identification

British Journal of Pharmacology, EarlyView.
Current therapeutic approaches often focus on targeting clinical symptoms or peripheral phenotypes rather than the underlying molecular mechanisms, or endophenotypes, that drive diseases. While symptom‐based drugs can alleviate discomfort, they do not necessarily alter disease progression and may overlook opportunities for prevention or early ...
Paolo Parini
wiley   +1 more source

Enhanced sensing performance through the integration of denoising autoencoder and ensembling techniques. [PDF]

Sci Rep
Gul N, Kim SM, Akbar S, Elahi A, Kim J.
europepmc   +1 more source

BiAEImpute: a robust bidirectional autoencoder framework for High-fidelity dropout imputation in single-cell transcriptomics. [PDF]

BMC Genomics
Zhang Y, Liu X, Wang Y, Wang Y.
europepmc   +1 more source