Search Results - "Simoes, Ricardo de Matos"

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    Bagging statistical network inference from large-scale gene expression data by de Matos Simoes, Ricardo, Emmert-Streib, Frank

    Published in PloS one (30-03-2012)
    “…Modern biology and medicine aim at hunting molecular and cellular causes of biological functions and diseases. Gene regulatory networks (GRN) inferred from…”
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    NF-κB dysregulation in multiple myeloma by Matthews, Geoffrey M., Ph.D, de Matos Simoes, Ricardo, Ph.D, Dhimolea, Eugen, Ph.D, Sheffer, Michal, Ph.D, Gandolfi, Sara, M.D, Dashevsky, Olga, Ph.D, Sorrell, Jeffrey D., B.A, Mitsiades, Constantine S., M.D., Ph.D

    Published in Seminars in cancer biology (01-08-2016)
    “…Abstract The nuclear factor-κB (NF-κB) transcription factor family plays critical roles in the pathophysiology of hematologic neoplasias, including multiple…”
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    Interfacing cellular networks of S. cerevisiae and E. coli: connecting dynamic and genetic information by de Matos Simoes, Ricardo, Dehmer, Matthias, Emmert-Streib, Frank

    Published in BMC genomics (11-05-2013)
    “…In recent years, various types of cellular networks have penetrated biology and are nowadays used omnipresently for studying eukaryote and prokaryote…”
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    Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq Data by Moore, Daniel, Simoes, Ricardo de Matos, Dehmer, Matthias, Emmert-Streib, Frank

    Published in Current genomics (01-01-2019)
    “…Background: Cancer is a complex disease with a lucid etiology and in understanding the causation, we need to appreciate this complexity. Objective: Here we are…”
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    Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networks by de Matos Simoes, Ricardo, Emmert-Streib, Frank

    Published in PloS one (29-12-2011)
    “…The inference of gene regulatory networks from gene expression data is a difficult problem because the performance of the inference algorithms depends on a…”
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    Statistical inference and reverse engineering of gene regulatory networks from observational expression data by Emmert-Streib, Frank, Glazko, Galina V, Altay, Gökmen, de Matos Simoes, Ricardo

    Published in Frontiers in genetics (2012)
    “…In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data…”
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    The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks by Emmert-Streib, Frank, de Matos Simoes, Ricardo, Mullan, Paul, Haibe-Kains, Benjamin, Dehmer, Matthias

    Published in Frontiers in genetics (2014)
    “…In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net…”
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    Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data by de Matos Simoes, Ricardo, Dalleau, Sabine, Williamson, Kate E, Emmert-Streib, Frank

    Published in BMC systems biology (14-05-2015)
    “…Urothelial pathogenesis is a complex process driven by an underlying network of interconnected genes. The identification of novel genomic target regions and…”
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    Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods by Emmert-Streib, Frank, Tripathi, Shailesh, de Matos Simoes, Ricardo

    Published in Biology direct (10-12-2012)
    “…High-dimensional gene expression data provide a rich source of information because they capture the expression level of genes in dynamic states that reflect…”
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    A consistent phylogenetic backbone for the fungi by Ebersberger, Ingo, de Matos Simoes, Ricardo, Kupczok, Anne, Gube, Matthias, Kothe, Erika, Voigt, Kerstin, von Haeseler, Arndt

    Published in Molecular biology and evolution (01-05-2012)
    “…The kingdom of fungi provides model organisms for biotechnology, cell biology, genetics, and life sciences in general. Only when their phylogenetic…”
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    TSPAN6 is a suppressor of Ras-driven cancer by Humbert, Patrick O., Pryjda, Tamara Zoranovic, Pranjic, Blanka, Farrell, Andrew, Fujikura, Kohei, de Matos Simoes, Ricardo, Karim, Rezaul, Kozieradzki, Ivona, Cronin, Shane J. F., Neely, G. Gregory, Meyer, Thomas F., Hagelkruys, Astrid, Richardson, Helena E., Penninger, Josef M.

    Published in Oncogene (01-04-2022)
    “…Oncogenic mutations in the small GTPase RAS contribute to ~30% of human cancers. In a Drosophila genetic screen, we identified novel and evolutionary conserved…”
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    Functional and genetic analysis of the colon cancer network by Emmert-Streib, Frank, de Matos Simoes, Ricardo, Glazko, Galina, McDade, Simon, Haibe-Kains, Benjamin, Holzinger, Andreas, Dehmer, Matthias, Campbell, Frederick

    Published in BMC bioinformatics (2014)
    “…Cancer is a complex disease that has proven to be difficult to understand on the single-gene level. For this reason a functional elucidation needs to take…”
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    samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files by Stupnikov, Alexey, Tripathi, Shailesh, de Matos Simoes, Ricardo, McArt, Darragh, Salto-Tellez, Manuel, Glazko, Galina, Dehmer, Matthias, Emmert-Streib, Frank

    Published in Bioinformatics (Oxford, England) (01-11-2016)
    “…Data from RNA-seq experiments provide us with many new possibilities to gain insights into biological and disease mechanisms of cellular functioning. However,…”
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