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    BMCBI
    2010
    143views more  BMCBI 2010»
    Learning gene regulatory networks from only positive and unlabeled data
    13 years 4 months ago
    Learning gene regulatory networks from only positive and unlabeled data
    Download  www.biomedcentral.com
    Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
    Luigi Cerulo, Charles Elkan, Michele Ceccarelli
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    KDD
    2008
    ACM
    137views Data Mining» more  KDD 2008»
    Learning classifiers from only positive and unlabeled data
    14 years 4 months ago
    Learning classifiers from only positive and unlabeled data
    Download  cseweb.ucsd.edu
    The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
    Charles Elkan, Keith Noto
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    WAIM
    2010
    Springer
    209views Information Technology» more  WAIM 2010»
    Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
    13 years 9 months ago
    Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
    Download  www.cs.sfu.ca
    Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
    Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 6 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    BMCBI
    2011
    254views Artificial Intelligence» more  BMCBI 2011»
    Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
    12 years 8 months ago
    Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
    Download  www.biomedcentral.com
    Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
    Yao Fu, Laura R. Jarboe, Julie A. Dickerson
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