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Similarly, relative measure of distribution was a critical factor affecting distribution bias.
HHTL proposes using a Deep Learning [68] approach to perform cross-domain feature mapping and distribution bias reduction.
The issue becomes that transforming the data from one language to another may not be effective due to distribution bias caused by the difference in product domains.
The next step is to discover a common latent feature space using the transformed data (from the previous step) to reduce the distribution bias between the transformed unlabeled target domain and the labeled source domain.
2) Cancer possesses distribution bias for alternative splicing types.
This distribution bias for cancer-specific AS implies that the cancer-specific alternative splicing of both oncogenes and tumor suppressor genes is associated with specific cancer types.
Since these new edges were not used to construct candidate BPMs in G, their distribution bias provides parallel independent support to the hypothesis that stable bipartite subgraphs do indeed correspond to biologically meaningful motifs.
We observed that the distribution bias towards "AS-TPs" in groups with TSS distance spans of "300∼500 bp", "500∼1000 bp" and "1000∼bp" (see Supplementary Figure S5).
Griffin et al.'s [3] argument that dogs maintained high levels of recovery because of the mass distribution bias toward the forelimbs and because dogs chose diagonalities close to 15%, and that lower or higher diagonalities would lower mechanical energy recovery, is a logical conclusion but has not been fully tested because the dogs in this study used a narrow range of diagonalities.
This normalization corrected for distribution bias associated with the heterogeneity of morphodynamic behavior among cells.
Generally, no significant distribution bias was found between sense and antisense strands and 3(b)).
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