Personalized_Medicine_A_New_Medical_and_Social_Challenge
for incorporating different views of genomic data. Here, we give a brief introduc- tion to BNs followed by a review of applicati ...
variable enables the compact factorization of the joint probability distribution (JPD): PXðÞ¼ 1 ,X 2 ,X 3 ,X 4 ,X 5 PXðÞ 1 PX 2 ...
When the construction of BN is finished and the JPD is known, one can make inference from the data, i.e., predict unobserved eve ...
FLN forSaccharomyces cerevisiaeby computing the likelihood that genes are functionally linked based on the information from hete ...
Specifically, in the study by Schadtet al.( 2012 ), the goal was to determine whether a particular individual with a known SNP g ...
Here, we give a brief mathematical introduction into the kernel-based statistical learning methods followed by a review of the l ...
quadratic programming (QP).^116 In most cases, the training data are not perfectly separable, and therefore an additional term n ...
The kernel-based data integration framework was originally proposed by Lanckrietet al.(2004a,b). They demonstrated the feasibili ...
complexity. In contrast, kernel matrices are large and their storage can create serious demands on memory resources. Nonnegative ...
min G 1 0 ,G 2 0 J¼ R 12 G 1 S 12 G 2 T (^2) Fþtr G T 1 Θ^1 G^1 þtr G 2 TΘ 2 G 2 ð 11 Þ Entries of the constraint mat ...
tri-factorization. For example, consider three data objects, mutual relations of which are given in three different relation mat ...
Having computed matrix factors,GandS(i.e., block matricesGiandSij), two types of inference are possible: (a) the first type uses ...
performance and concluded that the genetic interaction network contributes the most to the predictive performance of the model, ...
matrix completion method can take into account these genes through their feature vectors. 5 Conclusion A variety of data reposit ...
Albert R (2005) Scale-free networks in cell biology. J Cell Sci 118(21):4947–4957. doi:10.1242/ jcs.02714 Ashburn TT, Thor KB (2 ...
and data mining, ACM, New York, NY, USA, KDD’06, pp 126–135. doi:10.1145/1150402. 1150420 Ding H, Takigawa I, Mamitsuka H, Zhu S ...
Huang YF, Yeh HY, Soo VW (2013) Inferring drug-disease associations from integration of chemical, genomic and phenotype data usi ...
Lee DS, Park J, Kay KA, Christakis NA, Oltvai ZN, Barabsi AL (2008) The implications of human metabolic network topology for dis ...
Pržulj N (2011) Protein-protein interactions: making sense of networks via graph-theoretic modeling. Bioessays 33(2):115–123. do ...
syndrome: results from the treat rls 1 study, a 12 week, randomised, placebo controlled study in 10 European countries. J Neurol ...
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