Searching journal content for articles similar to Misra et al. 12 (7): 1112.

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  1. ...relevance, integrating the origin of DNA and protein elements (cis and trans) to evaluate false-positive and false-negative risks across experimental systems. Moreover, we explore how perturbation strategies—gain and loss of function—can complement steady-state profiling to establish causality in gene...
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  2. ...data into more accessible lower-dimensional spaces. Applications of embedding methods to biological data have demonstrated that gene embeddings can effectively capture physical, structural, and functional relationships between genes. However, this utility has been primarily realized by using gene...
  3. ...examined the large-scale genomic compartments of the interaction space comprising the euchromatic, gene-dense, so-called A compartment and the gene-poor, heterochromatic B compartment. We found a relatively large amount of compartment switching between the Suv39DKO and control DP thymocytes (∼1...
  4. ...genes (HVGs) as input through a pair of coupled batchnorm layers to account for large variations in gene expression levels, making it more robust and generalizable. Third, scTIE provides the means to extract interpretable features from the common embedding space by linking the developmental trajectories...
  5. ...-related morphology enables a cell to become more susceptible to EMT, thus reinforcing their metastatic fate. This analysis was extended by Sailem and Bakal (2017), who combined cell-shape features collected from image analysis with microarray expression data for breast cancer cell lines to create a shape–gene...
  6. ...-out values in the transcript count matrix X. H is useful for clustering and visualizing cells in lower-dimensional space, whereas WH is useful for downstream analysis such as quantifying gene–gene correlations.We also derive a formulation of netNMF-sc with the Euclidean distance cost function (Supplemental...
  7. ...Three-dimensional modeling of the P. falciparum genome during the erythrocytic cycle reveals a strong connection between genome architecture and gene expression Ferhat Ay 1 , 7 , Evelien M. Bunnik 2 , 7 , Nelle Varoquaux 3 , 4 , 5 , 7...
  8. ...the assumed structure of these data (e.g., whether they can be organized in a checkerboard pattern), and to design a clustering algorithm that is suitable for this structure. In particular, in analyzing microarray cancer data sets we may wish to identify both clusters of genes that participate in common...
  9. ...features of the linear genome are organized in the three-dimensional nuclear space in the context of rapid gene regulation. We found that the transcriptional response to GR occurs without dramatic nuclear reorganization. Moreover, contrary to the view of transcription-driven organization, even genes...
  10. ...expression for each gene comprising the feature represented. Selection of NMF Dimensionality An essential feature of the NMF approach is that it reduces the data set from its full dimensionality (original data space) to a lower dimensional NMF space. Initial calculations were performed to select...
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