Results 101 to 110 of about 7,468,732 (318)

Scatter Search Applied to the Inference of a Development Gene Network

open access: yesComputation, 2017
Efficient network inference is one of the challenges of current-day biology. Its application to the study of development has seen noteworthy success, yet a multicellular context, tissue growth, and cellular rearrangements impose additional computational ...
Amir Masoud Abdol   +3 more
doaj   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

open access: yesMolecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He   +8 more
wiley   +1 more source

Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei

open access: yesApplied Network Science, 2020
At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures.
B. Prasse   +3 more
semanticscholar   +1 more source

Neural networks for inference, inference for neural networks

open access: yes, 2018
Bayesian statistics is a powerful framework for modeling the world and reasoning over uncertainty. It provides a principled method for representing our prior knowledge, and updating that knowledge in the light of new information. Traditional Bayesian statistics, however, has been limited to simple models.
openaire   +2 more sources

Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA

open access: yesMolecular Oncology, EarlyView.
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson   +2 more
wiley   +1 more source

An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network

open access: yesMolecular Systems Biology, 2015
Organisms from all domains of life use gene regulation networks to control cell growth, identity, function, and responses to environmental challenges. Although accurate global regulatory models would provide critical evolutionary and functional insights,
Mario L Arrieta‐Ortiz   +17 more
doaj   +1 more source

Inference of Ecological Interaction Networks [PDF]

open access: yesAnnales Zoologici Fennici, 2008
To appear in Annales Zoologici ...
Vera-Licona, Paola   +1 more
openaire   +2 more sources

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

open access: yesMolecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad   +12 more
wiley   +1 more source

Inference of gene regulation functions from dynamic transcriptome data

open access: yeseLife, 2016
To quantify gene regulation, a function is required that relates transcription factor binding to DNA (input) to the rate of mRNA synthesis from a target gene (output).
Patrick Hillenbrand   +3 more
doaj   +1 more source

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