[HTML][HTML] The emerging potential for network analysis to inform precision cancer medicine
Precision cancer medicine promises to tailor clinical decisions to patients using genomic
information. Indeed, successes of drugs targeting genetic alterations in tumors, such as …
information. Indeed, successes of drugs targeting genetic alterations in tumors, such as …
Personalised interventions—a precision approach for the next generation of dietary intervention studies
B De Roos, L Brennan - Nutrients, 2017 - mdpi.com
Diet is a key modifiable risk factor for non-communicable diseases. However, we currently
are not benefitting from the full potential of its protective effects. This is due to a number of …
are not benefitting from the full potential of its protective effects. This is due to a number of …
Baricitinib-associated changes in global gene expression during a 24-week phase II clinical systemic lupus erythematosus trial implicates a mechanism of action …
Objective To characterise the molecular pathways impacted by the pharmacologic effects of
the Janus kinase (JAK) 1 and JAK2 inhibitor baricitinib in SLE. Methods In a phase II, 24 …
the Janus kinase (JAK) 1 and JAK2 inhibitor baricitinib in SLE. Methods In a phase II, 24 …
Potential diagnostic power of blood circular RNA expression in active pulmonary tuberculosis
Abstract Background Circular RNAs (circRNAs) are a class of novel RNAs with important
biological functions, and aberrant expression of circRNAs has been implicated in human …
biological functions, and aberrant expression of circRNAs has been implicated in human …
Unlocking immune-mediated disease mechanisms with transcriptomics
The transcriptome represents the entire set of RNA transcripts expressed in a cell, reflecting
both the underlying genetic and epigenetic landscape and environmental influences …
both the underlying genetic and epigenetic landscape and environmental influences …
Develo** a 'personalome'for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes
The development of computational methods capable of analyzing-omics data at the
individual level is critical for the success of precision medicine. Although unprecedented …
individual level is critical for the success of precision medicine. Although unprecedented …
Evaluation of single-sample network inference methods for precision oncology
A major challenge in precision oncology is to detect targetable cancer vulnerabilities in
individual patients. Modeling high-throughput omics data in biological networks allows …
individual patients. Modeling high-throughput omics data in biological networks allows …
A genome-by-environment interaction classifier for precision medicine: personal transcriptome response to rhinovirus identifies children prone to asthma …
Objective To introduce a disease prognosis framework enabled by a robust classification
scheme derived from patient-specific transcriptomic response to stimulation. Materials and …
scheme derived from patient-specific transcriptomic response to stimulation. Materials and …
N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes
Background Transcriptome analytic tools are commonly used across patient cohorts to
develop drugs and predict clinical outcomes. However, as precision medicine pursues more …
develop drugs and predict clinical outcomes. However, as precision medicine pursues more …
Causal network perturbations for instance-specific analysis of single cell and disease samples
Motivation Complex diseases involve perturbation in multiple pathways and a major
challenge in clinical genomics is characterizing pathway perturbations in individual …
challenge in clinical genomics is characterizing pathway perturbations in individual …