[HTML][HTML] An overview of clustering methods with guidelines for application in mental health research
Cluster analyzes have been widely used in mental health research to decompose inter-
individual heterogeneity by identifying more homogeneous subgroups of individuals …
individual heterogeneity by identifying more homogeneous subgroups of individuals …
Validation of cluster analysis results on validation data: A systematic framework
Cluster analysis refers to a wide range of data analytic techniques for class discovery and is
popular in many application fields. To assess the quality of a clustering result, different …
popular in many application fields. To assess the quality of a clustering result, different …
Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial
Patients with rheumatoid arthritis (RA) receive highly targeted biologic therapies without
previous knowledge of target expression levels in the diseased tissue. Approximately 40 …
previous knowledge of target expression levels in the diseased tissue. Approximately 40 …
muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
Single-cell RNA sequencing (scRNA-seq) has become an empowering technology to profile
the transcriptomes of individual cells on a large scale. Early analyses of differential …
the transcriptomes of individual cells on a large scale. Early analyses of differential …
Artemisinin resistance in the malaria parasite, Plasmodium falciparum, originates from its initial transcriptional response
L Zhu, RW van der Pluijm, M Kucharski… - Communications …, 2022 - nature.com
The emergence and spread of artemisinin-resistant Plasmodium falciparum, first in the
Greater Mekong Subregion (GMS), and now in East Africa, is a major threat to global malaria …
Greater Mekong Subregion (GMS), and now in East Africa, is a major threat to global malaria …
Nuclear-embedded mitochondrial DNA sequences in 66,083 human genomes
DNA transfer from cytoplasmic organelles to the cell nucleus is a legacy of the
endosymbiotic event—the majority of nuclear-mitochondrial segments (NUMTs) are thought …
endosymbiotic event—the majority of nuclear-mitochondrial segments (NUMTs) are thought …
Extracellular matrix profiles determine risk and prognosis of the squamous cell carcinoma subtype of non-small cell lung carcinoma
AL Parker, E Bowman, A Zingone, BM Ryan… - Genome medicine, 2022 - Springer
Abstract Background Squamous cell carcinoma (SqCC) is a subtype of non-small cell lung
cancer for which patient prognosis remains poor. The extracellular matrix (ECM) is critical in …
cancer for which patient prognosis remains poor. The extracellular matrix (ECM) is critical in …
[HTML][HTML] XIST loss impairs mammary stem cell differentiation and increases tumorigenicity through Mediator hyperactivation
L Richart, ML Picod-Chedotel, M Wassef, M Macario… - Cell, 2022 - cell.com
X inactivation (XCI) is triggered by upregulation of XIST, which coats the chromosome in cis,
promoting formation of a heterochromatic domain (Xi). XIST role beyond initiation of XCI is …
promoting formation of a heterochromatic domain (Xi). XIST role beyond initiation of XCI is …
Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence
Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. Here,
we perform longitudinal blood sampling of ESKD haemodialysis patients with COVID-19 …
we perform longitudinal blood sampling of ESKD haemodialysis patients with COVID-19 …
The benefits and pitfalls of machine learning for biomarker discovery
Prospects for the discovery of robust and reproducible biomarkers have improved
considerably with the development of sensitive omics platforms that can enable …
considerably with the development of sensitive omics platforms that can enable …