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(Topics "highly represented in the data" of GPT2's training database were Brexit, Miley Cyrus, and Lord of the Rings). All well and good.
However, in order to increase the number of directions represented in the data, we propose to use cross-line measurements in several directions.
So, the one which I mentioned briefly earlier has to do with the fact that different populations might be unequally represented in the data set used to train the algorithm.
Importantly, TX-MS also mitigates the unequal fragmentation issue (only one of the cross-linked peptides are represented in the data), as data from the different MS acquisition techniques over the same interface strongly corroborate each other.
While we believe that the general shape of the dive will be well represented in the data, our measurements of the absolute speed, velocity, and the magnitude of Doppler shift should be treated as coarse estimates.
This study describes a straightforward extension of Principal Component Analysis and Spectral Mixture Analysis to multitemporal imagery and illustrates how characterization of the dimensionality and eigenstructure of the data can inform modeling of the processes represented in the data.
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Moreover, graphlets do not need to be over-represented in the data when compared with "randomized" networks while motifs do.
Given that invagination lengths were only measured when full membrane profiles were visible, lengths in excess of 200 nm are likely to be under-represented in the data.
For example, students lower in conscientiousness might be under-represented in the data and such students might not show the same findings as the full sample.
Phase 1 trials may be under-represented in the data base since some foreign phase 1 trials are not conducted under an investigational new drug application [ 7].
The descriptive analyses of study sample size (Table 6) should therefore be interpreted with caution, since some studies are over-represented in the data set.
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