FacilityNetworkML uses an evolutionary machine learning model (evolutionary genetic algorithm) for sizing and measuring the facility network. Evolutionary genetic algorithms (EGAs) got their name from biological evolution theory, which they try to replicate. The terms EGA and biological evolution might se...
Drug resistance is a principal limitation to the long-term efficacy of cancer therapies. Cancer genome sequencing can retrospectively delineate the genetic basis of drug resistance, but this requires large numbers of post-treatment samples to nominate ca
We have therefore employed the immortalized human T cell line Jurkat and somatic mutants derived from this cell line as tools for genetic studies of NK cell-receptor signaling pathways.These keywords were added by machine and not by the authors. This process is experimental and the keywords may ...
In particular, we have evaluated the oxidative phosphorylation function and efficiency, the ATP/AMP ratio, the lactate dehydrogenase activity and the malondialdehyde content. Further, based on these biochemical markers, we developed a machine learning-based mathematical model able to predict the age of...
Studies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota, and metabolites to explain the site-
Dynamic selection techniques use k-NN to select the samples in the DSEL that define the competence level of each base classifier. However, in an imbalanced dataset, the k-NN algorithm selects mainly samples of the majority class, producing a poor base classifiers competency evaluation. To ...
Three further epigenetic subgroups were enriched for hallmark genetic events of adult GBM and/or established transcriptomic signatures. We also demonstrate that the two H3F3A mutations give rise to GBMs in separate anatomic compartments, with differential regulation of transcription factors OLIG1, OLIG...
Postsynaptic density (PSD) proteins have been implicated in the pathophysiology of neurodevelopmental and psychiatric disorders. Here, we present detailed clinical and genetic data for 20 patients with likely gene-disrupting mutations in TANC2—whose pro
Using this approach a genetic interaction graph (GI-Graph) is inferred per patient, capturing functional relationships between genes in the specific context of the tumor. The GI-Graphs are subsequently used to train supervised machine learning algorithms for predicting gene functionality and potential ...
(B) Oncoprint depicts genetic features of breast cancer cell lines relative to the clustering. Specific cell lines used functionally are summarized in the box. (C) Live cell imaging was used to explore the impact of CCNE1 knockdown in the absence and presence of palbociclib in the MB157 cell...