G. (1997). Inferring the rank of a matrix. Journal of Econometrics, 76 (1-2), 223-250.Cragg, J.G. and S.G. Donald (1997): "Inferring the rank of a matrix", Journal of Economet- rics 76, 223--250.Cragg, J. and Donald, S., 1997, Inferring the rank of a matrix, Journal...
Only a handful of recent studies have addressed the fundamental problem of estimating the size of a collective from measurements of some of its units6,7,8,9. The approaches proposed by Haenhe et al.6, Porfiri7, and Tang et al.8 are based on the computation of the rank of ancillary m...
First, we show a new characterization result: traffic matrices (TMs) typically show very low effective rank. This result refers to TMs that are purely spatial (have no temporal component), over a wide range of spatial granularities. Next, we define an inference problem whose solution allows ...
A matrix inversion is only possible if the matrix representation of the network has full rank, i.e., the rows of the matrix are linearly independent. Matrix inversion becomes problematic numerically already when the matrix is ill-conditioned; this, for instance, is the case when components are...
The second mode is thecomparative activitymode. In this mode, miTEA-HiRes performs a two-sided Wilcoxon rank-sum (WRS) test to evaluate the difference in activityp-values between compared populations or conditions (for example: cell types, disease vs. control). miTEA-HiRes then defines the ...
To validate this phenomenon in the in vitro setting, we looked at the relationship between S-phase enrichment and fitness of the two WGD clones inTP53−/− WT sample SA906a. Here, we found that both WGD clones were depleted for S-phase cells (rank 7/13 and 13/13 in overall clone...
Approaches include the use of a directed acyclic graph [37, 38], a gene homology matrix (GHM) [39], and an algorithm using reciprocal best hits (RBH) [40]. All of these methods generally agree on long synteny blocks, but have differences in handling local shuffles as well as in the ...
The extensions of L⁎ to learn deterministic weighted automata are based on the notion of Hankel Matrix and its minimum rank which is the generalization of the observation table of Angluin and the row index, and Fliess's theorem [33] which is a generalization of the Myhill–Nerode theorem ...
The rank of each node in the network in terms of the value of TC, degree, eigenvector, betweenness, closeness and k-shell is shown in Table 1. We compute the Spearman's rank correlation coefficient (the Pearson correlation between the rank values of two variables) between TC and degree...
4). For instance, topic M31 is enriched for alcoholic cirrhosis billing codes and ascites-based lab tests typical for cirrhosis patients; in M42, the code for HIV infection is grouped with abnormal counts of immune cells, including CD4 lymphocytes; diabetes codes tend to rank highly alongside ...