Results 211 to 220 of about 3,368,913 (313)
Leveraging public AI tools to explore systems biology resources in mathematical modeling. [PDF]
Kannan M+3 more
europepmc +1 more source
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Comprehensive systems biology analysis reveals splicing factor contributions to cutaneous melanoma progression. [PDF]
Zhu S+6 more
europepmc +1 more source
11th Intelligent Systems for Molecular Biology 2003 (ISMB 2003) [PDF]
Catherine A. Abbott
openalex +1 more source
Clinical significance of stratifying prostate cancer patients through specific circulating genes
We tested a specific panel of genes representative of luminal, neuroendocrine and stem‐like cells in the blood of prostate cancer patients, showing predictive value from diagnosis to late stages of disease. This approach allows monitoring of treatment responses and outcomes at specific time points in trajectories.
Seta Derderian+12 more
wiley +1 more source
Multiscale Mathematical Modeling in Systems Biology: A Framework to Boost Plant Synthetic Biology. [PDF]
Lucido A+7 more
europepmc +1 more source
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
wiley +1 more source
A Systems Biology Approach Towards a Comprehensive Understanding of Ferroptosis. [PDF]
Arbatskiy M+3 more
europepmc +1 more source