Results 141 to 150 of about 1,039,949 (281)

Effectiveness of the researcher-led "Peerspectives" peer review training course on review quality, knowledge, and skills among doctoral students in the biomedical sciences: a pre-post study. [PDF]

open access: yesRes Integr Peer Rev
Rohmann JL   +9 more
europepmc   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Department of Economics

open access: yes, 2013
Department of Economics Reviewers' Report for Academic Program ReviewDepartment of Economics, Reviewers' Report, Academic Program ReviewDepartment of Economics, Reviewers' Report, Academic Program ...
Department, Academic Program Review
core  

Ten simple rules for writing a peer review. [PDF]

open access: yesPLoS Comput Biol
Rahman F, DeBlasio D.
europepmc   +1 more source

Reviewing the review

open access: yesIndian Journal of Radiology and Imaging, 2015
openaire   +3 more sources

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

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