Sentence examples for of unknown classification from inspiring English sources

"Sirius" includes graphic footage of the supposedly humanoid entity of "unknown classification" by DNA sequencing.

While the film promised graphic footage of the humanoid of "unknown classification" by DNA sequencing, scientific analysis showed the creature was human.

Early PR for "Sirius" referred to the "paradigm shifting physical evidence of a medically and scientifically analyzed DNA sequenced humanoid creature of unknown classification". This fueled rumors, speculation and more than likely, the hope many people had that, finally, a real alien creature had been discovered and proven to have non-human DNA.

Although its actual formulation is straightforward, the treatment of unknown classification, a consideration of the implications for censoring, the effect on genomic predictors and diagnostic analysis have not been previously considered.

During the learning process, structural patterns in the "training set" are established; these then constitute the basis upon which predictions are made when presented with data of unknown classification ("test set").

A large proportion of contigs (44.5%) fell into the category of unknown classification while contigs that link directly with stress responses constituted 3% of the total number of contigs.

Following the demand that the decision – making procedure should be rapid, simple and effective in classification of unknown samples, it is reasonable and justifiable to perform the second classification of the Vinča and Pločnik classes using the simplest classifier of the linear discriminatory function type.

For atoms in about the first third of the periodic table, the L and S selection rules provide useful criteria for the classification of unknown spectral lines.

Already the National Science Foundation, through its Planetary Biodiversity Inventories for select groups of organisms has shown that intense, team efforts can speed the discovery and classification of unknown organisms, says meeting organizer Quentin Wheeler from Arizona State.

They proposed a decision tree-based prediction of the most frequent substructures, based on mass spectral features and retention index information, for classification of unknown metabolites into different compound classes.

The training and testing data sets are then transformed by these extracted features, before being used by the softmax regression for classification of unknown engines into healthy and faulty class.