What Gene Prediction in Transcriptomes, Metatranscrptomes, Metagenomes, and Microbial Genomes has in CommonNGS technology is instrumental in production of many different types of sequence data, including draft
SIFTER is different than previous programs in that it relies on a detailed understanding of the evolutionary history of a gene. As a result, it offers significantly better results.To demonstrate SIFTER’s powers of prediction, the researchers tested it on well-studied families of genes–ones that...
Machine Learning is an AI technique that teaches computers to learn from experience. Videos and code examples get you started with machine learning algorithms.
It is often presumed that motivation involves slow (‘tonic’) dopamine changes, while fast (‘phasic’) dopamine fluctuations convey reward prediction errors for learning. Yet recent studies have shown that dopamine conveys motivational value and promotes movement even on subsecond timescales. Here I...
Finally, we present the promises and challenges that arise when seeking to incorporate microbiome data in dietary planning and portray the anticipated revolution that the field of nutrition is facing upon adopting these novel concepts. Key points Common multifactorial diseases in both industrialized and ...
Will an improved prediction of logD, solubility or mutagenicity in an Ames assay by a few percentage points really be a game-changer for drug discovery when it comes to safety and efficacy in the in vivo situation? An example of how difficult it is to have clear compound–target–effect ...
Random forest is a commonly-used machine learning algorithm that combines the output of multiple decision trees to reach a single result.
2012). In this theoretical framework, a relict is then expected to exploit a unique niche, a prediction consistent with some of the adaptive explanations cited above (e.g., Parsons 2005), that relicts can be highly specialized (but inconsistent with relicts as generalists). Therefore, ...
Basic research is deeply interested in mechanisms and root causes. Questions such as “what is the molecular basis for life?” led our civilization to the discovery of DNA, and in that question there are already embedded causal questions, such as “how do changes in the nucleotide sequence of...
their combination or differential effect, and pleiotropy [6], where a single gene leads to multiple phenotypic expressions or disorders. As mentioned by Lehner [44], the sharp statement by Sewal Wright in the 1930s that ‘each character is affected by many characters…’ is very much true ...