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JetStream's topic matrix leads you through subject areas with maps and other graphical aids.
34 Potential themes that emerge from the review will be compiled into a topic matrix to allow easy comparison by topic.
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A good topic model is one that minimizes the squared difference between the raw data contained in the term-document matrix A and product of candidate term-topic and document-topic matrices, W and H.
Note that applying a threshold t to the Gene-Topic-Matrix induces (potentially overlapping) sets of genes to be associated with each topic.
We use the topic incidence matrix for topic correlation analysis and later for time series forecasting.
On the third step (step 3), we build the topic incidence matrix for documents collected for each year, by using both the topics and binary incidence plus year data set to generate each vector (see Fig. 1).
The estimation for determinants is an attractive topic in matrix theory and numerical analysis, especially in mathematical physics, since computers are not very valid for analysis of matrices with parameters, which plays an essential role in various applications (see, [1 3]).
We consider for each gene gi all Documents Dgi with indices {x1,..., xn} that are associated with the gene and define a Gene Topic Matrix as Gene Topic Matrix i, j = ma x k = 1,.., n Topic Proportion Matrix x k, j.
We will use this Topic Proportion Matrix to assign genes to topics in the following.
Since our corpus was derived from a list of genes and the association between genes and the documents is available, each gene is associated with a number of documents and therefore rows in the topic proportion matrix.
Zheng and Lu used GO annotation to extract biological topics that were used to construct a protein-topic association matrix [12].
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