Search Results - "Powers, Rani K."

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    Next-Generation Machine Learning for Biological Networks by Camacho, Diogo M., Collins, Katherine M., Powers, Rani K., Costello, James C., Collins, James J.

    Published in Cell (14-06-2018)
    “…Machine learning, a collection of data-analytical techniques aimed at building predictive models from multi-dimensional datasets, is becoming integral to…”
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    Journal Article
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    Metastatic cells are preferentially vulnerable to lysosomal inhibition by Morgan, Michael J., Fitzwalter, Brent E., Owens, Charles R., Powers, Rani K., Sottnik, Joseph L., Gamez, Graciela, Costello, James C., Theodorescu, Dan, Thorburn, Andrew

    “…Molecular alterations that confer phenotypic advantages to tumors can also expose specific therapeutic vulnerabilities. To search for potential treatments that…”
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    Sequential specification of oligodendrocyte lineage cells by distinct levels of Hedgehog and Notch signaling by Ravanelli, Andrew M., Kearns, Christina A., Powers, Rani K., Wang, Yuying, Hines, Jacob H., Donaldson, Maranda J., Appel, Bruce

    Published in Developmental biology (15-12-2018)
    “…During development of the central nervous system oligodendrocyte precursor cells (OPCs) give rise to both myelinating oligodendrocytes and NG2 glia, which are…”
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    Semi-Supervised Learning Using Hierarchical Mixture Models: Gene Essentiality Case Study by Daniels, Michael W., Dvorkin, Daniel, Powers, Rani K., Kechris, Katerina

    “…Integrating gene-level data is useful for predicting the role of genes in biological processes. This problem has typically focused on supervised…”
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    SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses by Lee, Alexandra J., Mould, Dallas L., Crawford, Jake, Hu, Dongbo, Powers, Rani K., Doing, Georgia, Costello, James C., Hogan, Deborah A., Greene, Casey S.

    Published in Genomics, proteomics & bioinformatics (01-10-2022)
    “…Genome-wide transcriptome profiling identifies genes that are prone to differential expression (DE) across contexts, as well as genes with changes specific to…”
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    GSEA-InContext: identifying novel and common patterns in expression experiments by Powers, Rani K, Goodspeed, Andrew, Pielke-Lombardo, Harrison, Tan, Aik-Choon, Costello, James C

    Published in Bioinformatics (01-07-2018)
    “…Abstract Motivation Gene Set Enrichment Analysis (GSEA) is routinely used to analyze and interpret coordinate pathway-level changes in transcriptomics…”
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    Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions by Bojar, Daniel, Powers, Rani K., Camacho, Diogo M., Collins, James J.

    Published in Cell host & microbe (13-01-2021)
    “…Glycans, the most diverse biopolymer, are shaped by evolutionary pressures stemming from host-microbe interactions. Here, we present machine learning and…”
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