Results 201 to 210 of about 20,013,753 (226)

Machine learning models for adverse drug reaction prediction. A systematic review and three-level multilevel meta-analysis. [PDF]

Front Pharmacol
Cappello G, Oster C, Schmidt T, Grieger J, Jekel L, Kizina K, Ahmadipour Y, Rauschenbach L, Dammann P, Sure U, Keyvani K, Junker A, Lazaridis L, Stuschke M, Pöttgen C, Scheffler B, Kleinschnitz C, Kebir S.   +17 more
europepmc   +1 more source

scE²TM improves single-cell embedding interpretability and reveals cellular perturbation signatures. [PDF]

Nat Commun
Chen H, Lu Y, Zhao Y, Dai Z, Wang FL, Li Q, Rao Y, Li Y.   +7 more
europepmc   +1 more source

Phenotypic analysis method for 3D reconstruction of eggplant seedlings fused with background purification - based on the improved EggplantPointNet++ model and DBSCAN clustering. [PDF]

Front Plant Sci
Xu J, Dong J, Zhang Z, Zhang Y, Zhang X, Deng C, Li J, Zhong Z, Pan F, Wu H, Fu X.   +10 more
europepmc   +1 more source

Prevalence of major risk factors for tuberculosis in COVID-19 active case-finding camps in India. [PDF]

Public Health Action
Arunachalam S, Chandra T, Basu A, Gandhi M, Shrivastava S, Shekhawat A, Singh M, Khanna A, Mannan S.   +8 more
europepmc   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi-Omics Data. [PDF]

Adv Sci (Weinh)
Ge Y, Zhang F, Liu Y, Jiang C, Gao P, Tan NS, Zhang S, Shen Y, Zhou Q, Zhou X, Wang X, Zhao F, Wang C, Shen X.   +13 more
europepmc   +1 more source

Projected cross-view learning for unbalanced incomplete multi-view clustering

Information Fusion
Incomplete multi-view clustering (IMVC) aims to partition samples into different groups for datasets with missing samples. The primary goal of IMVC is to effectively address the challenge posed by missing information in clustering analysis. Most existing
Man-Fai Leung, Hangjun Che, Baicheng Pan
exaly   +10 more sources

Localized Sparse Incomplete Multi-View Clustering [PDF]

IEEE Transactions on Multimedia, 2023
Incomplete multi-view clustering, which aims to solve the clustering problem on the incomplete multi-view data with partial view missing, has received more and more attention in recent years.
Jie Wen, Zhihao Wu, Yong Xu
exaly   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering

IEEE Transactions on Image Processing, 2022
Xinwang Liu, Xiao Zheng, Chang Tang
exaly