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Cited by 8 publications
(7 citation statements)
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References 14 publications
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“…Glucokinase (hexokinase 4) regulator ( GCKR ) inhibits glucokinase in the liver, and is linked to lipid levels (45, 46), type II diabetes risk (47) and fatty liver in obesity (48). MLX-interacting protein-like ( MLXIPL ) encodes a protein which activates genes involved in triglyceride synthesis, thus is associated with plasma triglycerides (49, 50) and possibly due to the association with carbohydrate in this pathway, is also implicated in type II diabetes risk (51, 52). , and Tribbles Pseudokinase 1 ( TRIB1) is expressed in the liver and associated with lipid levels and cardiovascular diseases in humans (45, 53); in mice it is shown to reduce VLDL particle production, and so reduce plasma triglyceride levels (54).…”
Section: Genetics Of Non-conventional Lipoprotein Fractionsmentioning
confidence: 99%
“…Glucokinase (hexokinase 4) regulator ( GCKR ) inhibits glucokinase in the liver, and is linked to lipid levels (45, 46), type II diabetes risk (47) and fatty liver in obesity (48). MLX-interacting protein-like ( MLXIPL ) encodes a protein which activates genes involved in triglyceride synthesis, thus is associated with plasma triglycerides (49, 50) and possibly due to the association with carbohydrate in this pathway, is also implicated in type II diabetes risk (51, 52). , and Tribbles Pseudokinase 1 ( TRIB1) is expressed in the liver and associated with lipid levels and cardiovascular diseases in humans (45, 53); in mice it is shown to reduce VLDL particle production, and so reduce plasma triglyceride levels (54).…”
Section: Genetics Of Non-conventional Lipoprotein Fractionsmentioning
confidence: 99%
“…Values of variables change gradually according to interactions between the proteins. QNs and similar formalisms (e.g., genetic regulatory networks [17]) are simple enough to be represented graphically and expressive enough to capture interesting biological phenomena (e.g., [2,14,15,17]).…”
Section: Analyzing Biological Networkmentioning
confidence: 99%
“…The motivation for our research is to provide a similar tool for analyzing evolving graphs, an area of interest in many research communities, Analysis of evolving graphs has been receiving increasing attention, with most progress taking place in the last decade [1,6,10,17,19,21]. Some areas where evolving graphs are being studied are social network analysis [8,14,15,20], biological networks [2,3,22] and the Web [7,18].…”
Section: Introductionmentioning
confidence: 99%