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Gene regulatory network inference resources: A practical overview
D Mercatelli, L Scalambra, L Triboli, F Ray… - Biochimica et Biophysica …, 2020 - Elsevier
Transcriptional regulation is a fundamental molecular mechanism involved in almost every
aspect of life, from homeostasis to development, from metabolism to behavior, from reaction …
aspect of life, from homeostasis to development, from metabolism to behavior, from reaction …
Reverse engineering and identification in systems biology: strategies, perspectives and challenges
The interplay of mathematical modelling with experiments is one of the central elements in
systems biology. The aim of reverse engineering is to infer, analyse and understand …
systems biology. The aim of reverse engineering is to infer, analyse and understand …
Benchmark and integration of resources for the estimation of human transcription factor activities
The prediction of transcription factor (TF) activities from the gene expression of their targets
(ie, TF regulon) is becoming a widely used approach to characterize the functional status of …
(ie, TF regulon) is becoming a widely used approach to characterize the functional status of …
[HTML][HTML] Comprehensive molecular characterization of muscle-invasive bladder cancer
We report a comprehensive analysis of 412 muscle-invasive bladder cancers characterized
by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the …
by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the …
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
Functional enrichment analysis has played a key role in the biological interpretation of high-
throughput omics data. As a long-standing and widely used web application for functional …
throughput omics data. As a long-standing and widely used web application for functional …
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop
resistance that might be overcome with drug combinations. However, the number of possible …
resistance that might be overcome with drug combinations. However, the number of possible …
An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease
TJ Kendall, M Jimenez-Ramos, F Turner… - Nature medicine, 2023 - nature.com
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the commonest cause
of chronic liver disease worldwide and represents an unmet precision medicine challenge …
of chronic liver disease worldwide and represents an unmet precision medicine challenge …
Gene regulatory network inference from single-cell data using multivariate information measures
While single-cell gene expression experiments present new challenges for data processing,
the cell-to-cell variability observed also reveals statistical relationships that can be used by …
the cell-to-cell variability observed also reveals statistical relationships that can be used by …
Transcriptome-based network analysis reveals a spectrum model of human macrophage activation
J Xue, SV Schmidt, J Sander, A Draffehn, W Krebs… - Immunity, 2014 - cell.com
Macrophage activation is associated with profound transcriptional reprogramming. Although
much progress has been made in the understanding of macrophage activation, polarization …
much progress has been made in the understanding of macrophage activation, polarization …
The genetic basis of early T-cell precursor acute lymphoblastic leukaemia
Early T-cell precursor acute lymphoblastic leukaemia (ETP ALL) is an aggressive
malignancy of unknown genetic basis. We performed whole-genome sequencing of 12 ETP …
malignancy of unknown genetic basis. We performed whole-genome sequencing of 12 ETP …