Sentence examples for subclass by from inspiring English sources

To estimate the (sample or population) ATT, we weigh each subclass by the number of treated units in this subclass before pooling them; weighting by the overall number of units in each subclass estimates the (sample or population) ATEs.

Examples in which there was a bias for modification of a single subclass by a GMREP line were identified for all five of the classes of polarity defects scored, including A/P (GMREP 808), D/V (GMREP 913), AP/DV (GMREP 1627), R3/R3 (GMREP 132) and R4/R4 (GMREP 3356) (Table 1, Fig. 2).

We then proceeded to analyze disease heterogeneity within each myositis subclass by utilizing these five gene signatures.

However, no associations were found between either MS or Ki-67LI with BCSS or DMFS in luminal 2 subclass by using either 10%and50%0% or 75%Ki-67LKi-67L-offs.

When we compared these phylogenic relationships with the classification proposed for the A. thaliana C1-2i subclasses, Group G1 comprised STZ/ZAT10 (gi.15217692), ZAT6 (gi.15237692) and AZF3 (genes239195) genes of A. thaliana, previously grouped in the C1-2iD subylass by Englbrecht et al. In our study, the other A. thaliana subclasses (C1-2iB and C1-2iC) were found in Group G2.

Remark 1 The classes W α ( Φ, Ψ ; h ), M α ( φ, h ), CW α ( Φ ; P ) reduced to well-known subclasses by judicious choices of the parameters; see, for example [1 28].

This could be because DLBCL consists of several diseases, but stratification into subclasses by standard pathologic techniques has not been possible.

In view of the highly rearranged nature of the metastatic melanoma genome, we next asked whether metastases were comprised of distinct genomic subclasses by genomic non-negative matrix factorization (gNMF), an unsupervised classification algorithm modified for array-CGH data [16], [17].

Distribution of test samples into the four subclasses by the Heterogeneous Mixture Discriminant Analysis (MDAhet) classifier.

To annotate these functional differences, each protein class is divided into subclasses by manually inspecting and subdividing phylogenetic trees.

Intriguingly, the CC sample cluster was divided into two subclasses by tumor differentiation: differentiated (Df) and undifferentiated (Udf).