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transcriptomic reference dataset  (Allen Institute for Brain Science)

 
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    Allen Institute for Brain Science transcriptomic reference dataset
    Transcriptomic Reference Dataset, supplied by Allen Institute for Brain Science, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/transcriptomic+reference+dataset/pm39353431-47-3-20?v=Allen+Institute+for+Brain+Science
    Average 90 stars, based on 1 article reviews
    transcriptomic reference dataset - by Bioz Stars, 2026-07
    90/100 stars

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    transcriptomic reference dataset  (Allen Institute for Brain Science)
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    Allen Institute for Brain Science transcriptomic reference dataset
    The schema of TransPilot server. (A) LLR-matrix coding for positive training nucleotide sequences. (B) LLR-matrix coding for negative training nucleotide sequences. (C) The ANN model and creation of the ranked and directed TF-target dataset. (D) Creation of ranked gene list from <t>transcriptome</t> data, identification of key TFs by TransPilot, and finally build the regulation network.
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    https://www.bioz.com/product/transcriptomic+reference+dataset/pm39353431-47-3-20?v=Allen+Institute+for+Brain+Science
    Average 90 stars, based on 1 article reviews
    transcriptomic reference dataset - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

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    The schema of TransPilot server. (A) LLR-matrix coding for positive training nucleotide sequences. (B) LLR-matrix coding for negative training nucleotide sequences. (C) The ANN model and creation of the ranked and directed TF-target dataset. (D) Creation of ranked gene list from transcriptome data, identification of key TFs by TransPilot, and finally build the regulation network.

    Journal: Bioinformatics Advances

    Article Title: TransPilot: mining key transcription factors by correlating binding sites with differentially expressed genes

    doi: 10.1093/bioadv/vbag145

    Figure Lengend Snippet: The schema of TransPilot server. (A) LLR-matrix coding for positive training nucleotide sequences. (B) LLR-matrix coding for negative training nucleotide sequences. (C) The ANN model and creation of the ranked and directed TF-target dataset. (D) Creation of ranked gene list from transcriptome data, identification of key TFs by TransPilot, and finally build the regulation network.

    Article Snippet: The TF-target pairs were ranked by the ANN score ( Y ANN , > 0.5) and the directions (positive or negative) of the regulatory relationships for each pair were determined by the correlation coefficient between their expression levels in a reference transcriptome dataset obtained from the Human Protein Atlas database ( Uhlén et al. 2015 ).

    Techniques: