Sentence examples for many datasets from from inspiring English sources
There are many datasets from various biological experiments for yeast.
Therefore, an improved normalization method needs to be developed to normalize many datasets from various platforms, including microarray, and Roche 454 or Illumina.
No tissue dominated the importances, and many datasets from a variety of tissues including liver, limb, embryonic fibroblasts, and brain, had at least 5% of the importance.
One particular approach consists in gathering as many datasets from the literature as possible, pool them together and treat them as just one large data set, an approach that has given positive and encouraging results [ 8, 10, 11] In a previous work we applied this technique to two phylogenetically widely different bacteria, E. coli and B. subtilis [ 12].
Many datasets contain sequences from only one or a few eukaryotic taxa other than diplomonads, and in some, diplomonads are the only eukaryotes present.
However, the increasing variety of data generating technologies and heterogeneity of resulting data draw attention to two challenges in the context of Markov network inference: inference from non-Gaussian distributed data, and simultaneous inference from many datasets.
From many datasets gathered in online social networks, well defined community structures have been observed.
The Blue Marble and Black Marble series of images were composited from many datasets of an orbiting satellite (around 500 miles away).
In contrast to our FuseNet, these methods cannot integrate datasets across different data types, thereby limiting their ability to fuse information from many datasets.
The importance of latent factor parameterization will be obvious later in Section 3.7 when we discuss collective network inference from many datasets.
This feature, together with the sharing of latent factors between datasets, allows us to infer a network by simultaneously considering many datasets that each can arise from a different exponential family distribution (Section 3.7).
