Exact(3)
If her grasp of contemporary art distinguishes her," it runs," so, she knows, does th condition of her cuticles".
Likewise, a value of 1 in the j th position of the second array indicates that the j th condition has been selected for inclusion in the bicluster.
c i (t) (i = 1,2,...,19), the i th component of c(t), equals unity if the i th condition holds at time t and zero if not.
Similar(57)
We used 48 complementary DNA microarrays to examine hepatic gene expression profiles of wild-type and Thra and Thrb knockout mice under different Th conditions: no treatment, treatment with 3,3',5-triiodothyronine (T(3)), Th-deprivation using propylthiouracil (PTU), and treatment with a combination of PTU and T(3).
Formulation (3) allows us to obtain condition-specific regression matrices T d 's based on a common template T. Note that for each T d, its non-zero rows signify important genes under the d-th condition.
Ideally, expression values of the k-th condition (k=1…, K) derived from the same RNA molecule have the same value v k in all positions of its exon regions.
The design matrix X0 was mapped to the phenotype responses Y d ∈ ℝ C × M via a regressing matrix T d ∈ℝ N × M, as (1) The coefficient matrices T d 's reflect the dependency (or correlation) between the genes and the phenotypes of interest, i.e. its ij-th entry is the weight associated with the i-th gene in reconstructing the j-th feature in the phenotypic profile under the d-th condition.
In addition, the conflict-resolution demands of the orthographic word spelling condition led to higher left frontal activation for ths condition relative to the orthographic-phonological word condition in which no conflict existed.
The key different between the unsupervised method and the supervised one is that the unsupervised method automatically computes probability φi,k in (15), which weights the i-th experimental condition for the k-th group.
Hierarchical clustering was performed using a complete linkage algorithm and using m ij = max l,m )=1… N (k lm) − k ij as metrics, where N is the total number of experimental conditions to be compared, and k ij is the number of genes in the intersection when comparing the i-th experimental condition to the j-th experimental condition.
We denote by κi, k the classification of the experimental conditions: κi, k = 1 indicates that the i-th experimental condition belong to the k-th group of conditions, and zero otherwise.
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