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Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression

The MST-kNN with paracliques

Relative neighborhood graphs uncover the dynamics of social media engagement

On ranking nodes using kNN graphs, shortest-paths and GPUs

kNN-MST-Agglomerative: a fast and scalable graph-based data clustering approach on GPU

kNN-Borůvka-GPU: a fast and scalable MST construction from kNN graphs on GPU

Identifying communities of trust and confidence in the charity and not-for-profit sector: a memetic algorithm approach

GPU-FS-kNN: a software tool for fast and scalable kNN computation using GPUs

Gauging heterogeneity in online consumer behaviour data: a proximity graph approach

FSMEC: a feature selection method based on the minimum spanning tree and evolutionary computation

Engagement in motion: exploring short term dynamics in page-level social media metrics

Computing large-scale distance matrices on GPU

Clustering nodes in large-scale biological networks using external memory algorithms

An integrated, fast and scalable approach for large-scale biological network analysis

An information theoretic clustering approach for unveiling authorship affinities in Shakespearean era plays and poems

A GPU-based method for computing eigenvector centrality of gene-expression networks

'Neuroinflammation' differs categorically from inflammation: transcriptomes of Alzheimer's disease, Parkinson's disease, schizophrenia and inflammatory diseases compared

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