EgoNet: identification of human disease ego-network modules. [PDF]
Mining novel biomarkers from gene expression profiles for accurate disease classification is challenging due to small sample size and high noise in gene expression measurements. Several studies have proposed integrated analyses of microarray data and protein-protein interaction (PPI) networks to find diagnostic subnetwork markers.
Yang R, Bai Y, Qin Z, Yu T.
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A systematic metadata harvesting workflow for analysing scientific networks. [PDF]
Butt BH, Rafi M, Sabih M.
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Joint stereo 3D object detection and implicit surface reconstruction. [PDF]
Li S, Huang X, Liu Z, Cheng KT.
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Using Trellis software to enhance high-quality large-scale network data collection in the field.
Lungeanu A +5 more
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DeeplyEssential: a deep neural network for predicting essential genes in microbes. [PDF]
Hasan MA, Lonardi S.
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Personal Social Networks of Women with Justice-Involvement in Substance Use Treatment. [PDF]
Min MO, Salisbury EJ, Howey W.
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"When You Are Holding a Pen You Think Deeper about What You Write." Comparing the Experiences of Completing Paper- and Computer-based Participant-aided Sociograms. [PDF]
Hoór D, Nxumalo V, Hogan B, Harling G.
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High throughput analysis to identify key gene molecules that inhibit adipogenic differentiation and promote osteogenic differentiation of human mesenchymal stem cells. [PDF]
Peng WX, Gao CH, Huang GB.
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Autonomy-supportive sexual health communication and sexual health behaviors for black and Latino MSM in the House Ball Community: Protocol for a social network analysis and exploratory structural equation model. [PDF]
Smith MDR +3 more
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Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. [PDF]
Isewon I +4 more
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