Selected article for: "gene overlap and L1000 gene"
Author: Courtney R. Sullivan; Catharine A. Mielnik; Sinead M. O’Donovan; Adam J. Funk; Eduard Bentea; Erica A.K. DePasquale; Zhexing Wen; Vahram Haroutunian; Pavel Katsel; Amy J. Ramsey; Jarek Meller; Robert E. McCullumsmith
Title: Connectivity analyses of bioenergetic changes in schizophrenia: Identification of novel treatments
  • Document date: 2018_6_5
    • ID: ltb6l5xz_98
    Snippet: With the goal of identifying panels of correlated transcriptomic changes in our seed gene knockdown signatures, we used iLINCS to perform unsupervised clustering of the top 50 differentially expressed L1000 genes from our 6 seed gene knockdown signatures (maximum of 300 L1000 genes) (Figure 3 and Figure 4 ). Due to gene overlap between top 50 differentially expressed L1000 genes in seed gene knockdown signatures, this resulted in the clustering o.....
    Document: With the goal of identifying panels of correlated transcriptomic changes in our seed gene knockdown signatures, we used iLINCS to perform unsupervised clustering of the top 50 differentially expressed L1000 genes from our 6 seed gene knockdown signatures (maximum of 300 L1000 genes) (Figure 3 and Figure 4 ). Due to gene overlap between top 50 differentially expressed L1000 genes in seed gene knockdown signatures, this resulted in the clustering of expression data for 260 L1000 genes. To generate this heatmap, we used the interactive "gene The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/338392 doi: bioRxiv preprint clusters" function in iLINCS to cluster expression data from 260 differentially expressed genes using Pearson correlation coefficients ("union of the top 50 differentially expressed genes").

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