An augmented GSNMF model for complete deconvolution of bulk RNA-seq data. [PDF]
Li S +4 more
europepmc +1 more source
Uncovering the role of RNA binding proteins in colorectal cancer through single-cell transcriptomic analysis. [PDF]
Lin M +8 more
europepmc +1 more source
Unveiling patterns: an exploration of machine learning techniques for unsupervised feature selection in single-cell data. [PDF]
Chatterjee N +6 more
europepmc +1 more source
Robustness and resilience of computational deconvolution methods for bulk RNA sequencing data. [PDF]
Xu S, Chen D, Wang X, Li S.
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RMzyme: regulations of RNA-modifying enzymes in humans. [PDF]
Luo R +14 more
europepmc +1 more source
Public Discourse Toward Older Drivers in Japan Using Social Media Data From 2010 to 2022: Longitudinal Analysis. [PDF]
Nakanishi A, Ichikawa M, Sano Y.
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Machine learning-based identification of extracellular matrix-related prognostic subtypes in SHH-activated medulloblastoma. [PDF]
Zhao Q +7 more
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Single-cell landscape of intratumoral heterogeneity and GABA-mediated remodeling of the immune microenvironment in breast cancer metastases. [PDF]
Tang L.
europepmc +1 more source
AI and Machine Learning for Proteomics-Driven Drug Discovery: Methods, Tools, and Best Practices. [PDF]
Basak S.
europepmc +1 more source
SEPAR enables spatial metagene discovery and associated molecular pattern characterization in spatial transcriptomics and multi-omics datasets. [PDF]
Zhang L, Zhu Y, Zhang S.
europepmc +1 more source

