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5 research outcomes, page 1 of 1
  • publication . Article . 2018
    Open Access English
    Authors:
    Huang, Huei-Chung; Qin, Li-Xuan;
    Publisher: PeerJ Inc.
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Statistical Methods for N... (5R01CA151947-03)

    <jats:sec> <jats:title>Background</jats:title> <jats:p>Data artifacts due to variations in experimental handling are ubiquitous in microarray studies, and they can lead to biased and irreproducible findings. A popular approach to correct for such artifacts is through po...

  • publication . Article . Other literature type . 2016
    Open Access
    Authors:
    Qin, Li-Xuan; Levine, Douglas A.;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Statistical Methods for N... (5R01CA151947-03)

    Background Accurate discovery of molecular biomarkers that are prognostic of a clinical outcome is an important yet challenging task, partly due to the combination of the typically weak genomic signal for a clinical outcome and the frequently strong noise due to microar...

  • publication . Other literature type . Article . 2018
    Open Access
    Authors:
    Li-Xuan Qin; Huei-Chung Huang; Liliana Villafania; Magali Cavatore; Narciso Olvera; Douglas A. Levine;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Statistical Methods for N... (5R01CA151947-03)

    We set out to demonstrate the logistic feasibility of careful experimental design for microarray studies and its level of scientific benefits for improving the accuracy and reproducibility of data inference. Towards this end, we conducted a study of microRNA expression ...

  • publication . Article . 2014
    Open Access English
    Authors:
    Li-Xuan Qin; Qin Zhou;
    Publisher: Public Library of Science
    Project: NIH | Statistical Methods for N... (5R01CA151947-03), NIH | MOUSE GENETICS (2P30CA008748-43)

    MicroRNA arrays possess a number of unique data features that challenge the assumption key to many normalization methods. We assessed the performance of existing normalization methods using two microRNA array datasets derived from the same set of tumor samples: one data...

  • publication . Article . 2015
    Open Access English
    Authors:
    Barlin, Joyce N.; Zhou, Qin C.; Leitao, Mario M.; Bisogna, Maria; Olvera, Narciso; Shih, Karin K.; Jacobsen, Anders; Schultz, Nikolaus; Tap, William D.; Hensley, Martee L.; ...
    Publisher: Neoplasia Press
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Statistical Methods for N... (5R01CA151947-03)

    The molecular etiology of uterine leiomyosarcoma (ULMS) is poorly understood, which accounts for the wide disparity in outcomes among women with this disease. We examined and compared the molecular profiles of ULMS and normal myometrium (NL) to identify clinically relev...

5 research outcomes, page 1 of 1
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