Abstract: Non-negative matrix factorization (NMF) is becoming increasingly popular in many research fields due to its particular properties of semantic interpretability and part-based representation.
Abstract: In this paper, we propose a fast sparse Nonnegative Matrix Factorization algorithm incorporating manifold identification techniques. Within an alternating update framework, it adaptively ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...
A method for arrayed CRISPRi screening in organoids enables the investigation of morphogenesis in human stem cell-derived tissues, revealing the roles of ZIC2, SOX11, and ZNF521 in neural tube closure ...
SPLATT is a library and C API for sparse tensor factorization. SPLATT supports shared-memory parallelism with OpenMP and distributed-memory parallelism with MPI. SPLATT expects tensors to be stored in ...
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