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MINMA specifications
Information
Unique identifier | OMICS_25426 |
---|---|
Name | MINMA |
Alternative name | Missing data Imputation incorporating Network and adduct ion information in Metabolomics Analysis |
Software type | Package/Module |
Interface | Command line interface |
Restrictions to use | None |
Operating system | Unix/Linux, Mac OS, Windows |
Programming languages | R |
Computer skills | Advanced |
Version | 0.1 |
Stability | Stable |
Maintained | Yes |
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Maintainers
- person_outline Jian Kang
- person_outline Tianwei Yu
Publication for Missing data Imputation incorporating Network and adduct ion information in Metabolomics Analysis
Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations.
MINMA citations
(8)High density genetic map construction and QTLs identification for plant height in white jute (Corchorus capsularis L.) using specific locus amplified fragment (SLAF) sequencing
[…] male parent) and local variety ‘Aidianyesheng’ (male parent, supplied by the National Medium-term Genebank of Jute Germplasm Resources). Cultivar ‘179’ was derived from the cross ‘Meifeng No. 2’ and ‘Minma No. 5’; ‘Aidianyesheng’ is a long-established local variety. The mapping population consisted of 100 individuals and was developed by single seed descent (F8) at Fujian Agriculture and Forestry […]
Mixed Total Variation and L1 Regularization Method for Optical Tomography Based on Radiative Transfer Equation
[…] dn+μan+1−Dn+1.The minimization of subproblems in () can be iteratively solved by splitting it into the minimizations of μa and 𝒟 separately. This suggests the following steps. Step 1 . (29)μan+1=argminμa12∑i=1sFiμa−MiL2∂X2+α∫X∇μa+η2Dn−μa−bdn22. […]
Improved Measures of Integrated Information
[…] h of these optimizations are feasible and interesting to perform in practice and let us find out what the corresponding factorizations and ϕ-measures are.The mathematics problem we wish to solve is ϕ≡minMA,MBd(p,q)(27) i.e., minimizing d(p, q) over MA and MB given the constraints that MA and MB are markov Matrices: M·jA=1, M·j′B=1, MijA≥0 and Mi′j′B≥0. specifies the options for how p and q are co […]
Interval valued fuzzy \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{ 69pt} \begin{document}$$\phi$$\end{document}ϕ tolerance competition graphs
[…] re Xv+={u:μB(v,u→)>0} and mv+:Xv+→[0,1]×[0,1] defined by mv+=μB(v,u→)=[μB-(v,u→),μB+(v,u→)] Here, B is an interval-valued fuzzy relation on a set X, is denoted by μB:X×X→[0,1]×[0,1] such thatμB-(x,y)≤minμA-(x),μA-(y)μB+(x,y)≤minμA+(x),μA+(y) An interval-valued fuzzy graph of a graph G∗=(V,E) is a fuzzy graph G=(V,A,B), where A=[μA-,μA+] is an interval-valued fuzzy set on V and B=[μB-,μB+] is a sym […]
High Speed GPU Based Fully Three Dimensional Diffuse Optical Tomographic System
[…] model predicted F(μ a, κ) and the experimental measurement (M E) is minimum. To minimize the error, the cost functional χ(μ a, κ) is minimized and the cost functional is defined as [] (5)χ(μa,k)=arg{minμa,k||[ME−F(μa,k)]||}, where ||·|| is L 2 norm. Through Gauss-Newton and Levenberg-Marquardt [, ] algorithms, the minimized form of the above equation for the optical parameter update can be writte […]
Improvement of image quality of time domain diffuse optical tomography with lp sparsity regularization
[…] n the measured MTF data and the MTF data calculated by solving the forward problem. Reconstruction to estimate the μa distribution is conventionally achieved by solving the following optimization, (2)minμa‖M−M^(μa)‖2+λ⋅f(μa),where M and M̂ are the sets of the measured and the calculated MTFs, respectively. λ is a regularization parameter, and f is a regularization function depending on the regular […]
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