Model predictions were also consistent with two independent validation datasets, with higher predicted suitable habitat values at known occurrence locations than at a random set of locations (P < 0.01). Our mode
(a sun and a planet for the first two, and two suns for the third), the distance between them, and the orbital period of the planet around its sun in the first two datasets or the orbital period around the common center of mass in the third dataset. The data we use is given in ...
RACS ranks drug pairs according to similarities with known samples in a specified multi-feature space. To achieve flexibility for compounds without sufficient information, RACS is performed in two steps (Fig. 1): (1) Preliminary ranking:
In this way, two different biomarker profiles were obtained for each serum sample, yielding a WCX- and RPC18-dataset. Results The profiles were statistically evaluated with double cross-validation. Classification results of WCX- and RPC18-datasets were determined for each set separately and for ...
Summary. The paper investigates the location of serious crime neighbourhoods in Sheffield, England, in 1998 on the basis of two sources of data: senior police officer perceptions of where such neighbourhoods are and the evidence that is contained in the police's own database of recorded cri...
To demonstrate the efficacy of feature dimensionality reduction, we trained and compared the accuracy of RF models tested with initial versus filtered features for both energy datasets. The comparative results are illustrated in Fig.5, in which the model training for formation energy is labeled as ...
These constants are obtained by defining an added value that results in zero difference when mean value of DAHITI measurements is subtracted from mean values of in-situ and GRLM datasets, respectively. The result showed that DAHITI and GRLM altimetry products well agreed to the measured water ...
In conclusion, a SSL prediction approach was proposed in this paper to predict SGI by combining functional and topological properties of FGN. Using a clustering-based data integration method, large-scale protein interaction data, protein complex data and multiple time-course gene expression datasets we...
The two datasets were subjected to the IDEAL-Q to perform protein identification and generate two protein profiles of expression ratio for the sample; the two profiles were further integrated into a single one for pathway analyses. The integration of the two profiles was done as follows. First,...
In SRXTM (Fig. 2d–f), the projections are tomographically reconstructed to 3D volumetric datasets (Fig. 2d). In Fig. 2e, we show a rendering of a part of such a volume. With this data, we compute the dissolving lithium volume, which can be directly related to the amount of flowed ...