Results 1 to 10 of about 1,206,915 (318)

Moving From Keywords to Contextual Meaning: A Commentary on Hybrid Bibliometric Synthesis in Health Research. [PDF]

J Med Internet Res
Zikos D.
europepmc   +1 more source

A clustering-based trajectory analytics of functional loss and recovery among older adults. [PDF]

PLoS One
Khalili G, Zargoush M, Ghazalbash S, Huang K.   +3 more
europepmc   +1 more source

Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation. [PDF]

Brief Bioinform
Mao Y, Quan L, Chen X, Wang S, Zhang G, Li S, Jiang Y, Nie L, Wu T, Meng L, Lyu Q.   +10 more
europepmc   +1 more source

scMVAF: a multi-view adaptive fusion clustering approach for single-cell RNA-sequencing data. [PDF]

Brief Bioinform
Wang J, Long Q, Tang D, Deng J, Liang Y.
europepmc   +1 more source

Fully synthetic replication of complex real biological cell clusters using a novel cluster-based 'Rosetta-Routine' computational modelling process. [PDF]

PLoS Comput Biol
Mason B, Justham L, Whitby L, Whitby A, Scott S, Nti S, Petzing J.   +6 more
europepmc   +1 more source

Correction: Classification of fielders in nippon professional baseball using a Gaussian mixture clustering model. [PDF]

Front Sports Act Living
Oda T, Hirotsu N.
europepmc   +1 more source

GOLDEN fusion: a graph-oriented learning with domain-embedding network fusion for generating super gene sets in functional genomics. [PDF]

Brief Bioinform
Li Q, Nichols C, Welner RS, Chen JY, Ku WS, Yue Z.   +5 more
europepmc   +1 more source

Histology-informed spatial domain identification through multi-view graph convolutional networks. [PDF]

PLoS Comput Biol
Zhang H, Chang J, Li Z, Sun Y, Hu P, Wang H, Yang H, Ren Y, Zhang X, Chen Z, Wong KW, Shao H.   +11 more
europepmc   +1 more source

Multi-Omics Data Integration Clustering for Cancer Subtypes Identification Based on Motif High-Order Similarity Graph and Tensor Regularization. [PDF]

Genes (Basel)
Yan H, Hu F.
europepmc   +1 more source

On using clustering statistics for assessing plasmid binning tools accuracy. [PDF]

Brief Bioinform
Epain V, Mane A, Chauve C.
europepmc   +1 more source