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https://w.atwiki.jp/ce00582/pages/2956.html
import java.awt.*; import java.awt.geom.*; import java.awt.event.*; import javax.swing.*; import java.awt.image.BufferedImage; import java.io.File; import javax.imageio.ImageIO; import java.io.IOException; import java.io.*; public class pro extends JFrame{ double c[][]=new double[6][6]; double y1[][]=new double[6][6]; double y2[][]=new double[6][6]; int s1,s2; public static void main(String[] args){ pro test = new pro(); test.addWindowListener(new WindowAdapter(){ public void windowClosing(WindowEvent e){System.exit(0);} }); test.setBounds( 0, 0, 700, 700); test.setVisible(true); } pro(){ try{ BufferedReader br = new BufferedReader(new FileReader("tax.txt")); String str; String x[]=new String[5]; for(int i=0; i 25; i++){ str = br.readLine(); x=str.split(","); s1=Integer.valueOf(x[0]); s2=Integer.valueOf(x[1]); c[s1][s2]=Double.valueOf(x[2]); y1[s1][s2]=Double.valueOf(x[3]); y2[s1][s2]=Double.valueOf(x[4]); } br.close(); } catch(IOException e){System.out.println("入出力エラーです。");} } public void paint(Graphics g){ double x,y,z; int px,py; int px1,px2,py1,py2; Graphics2D g2 = (Graphics2D)g; BufferedImage readImage = null; if (readImage == null){ readImage = new BufferedImage(getWidth(), getHeight(), BufferedImage.TYPE_INT_BGR); } Graphics2D off = readImage.createGraphics(); off.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON); BasicStroke wideStroke = new BasicStroke(2.0f); off.setStroke(wideStroke); off.setPaint(Color.red); x=0; y=0; z=500; px=pointx(x,y,z); py=pointy(x,y,z); off.drawLine(100,600,100+px,600-py); x=500; y=0; z=0; px=pointx(x,y,z); py=pointy(x,y,z); off.drawLine(100,600,100+px,600-py); x=0; y=500; z=0; px=pointx(x,y,z); py=pointy(x,y,z); off.drawLine(100,600,100+px,600-py); g.setColor(Color.blue); for (s2=1;s2 6;s2++){ for (s1=1;s1 5;s1++){ x=1000*y1[s1][s2]; y=1000*y2[s1][s2]; z=1000*c[s1][s2]; px1=pointx(x,y,z); py1=pointy(x,y,z); x=1000*y1[s1+1][s2]; y=1000*y2[s1+1][s2]; z=1000*c[s1+1][s2]; px2=pointx(x,y,z); py2=pointy(x,y,z); off.drawLine(100+px1,600-py1,100+px2,600-py2); } } if (readImage != null){g2.drawImage(readImage,0,0, this);} try { boolean result = ImageIO.write(readImage, "jpg", new File("sam.jpg")); } catch (Exception e) { e.printStackTrace(); } } public static int pointy(double x,double y,double z){ int p2; double theta,phi; theta=-0.222222*Math.PI; phi=0.333333*Math.PI; p2=(int)(-Math.cos(theta)*Math.cos(phi)*x-Math.sin(theta)*Math.cos(phi)*y+Math.sin(phi)*z); return p2; } public static int pointx(double x,double y,double z){ int p1; double theta; theta=-0.222222*Math.PI; p1=(int)(-Math.sin(theta)*x+Math.cos(theta)*y); return p1; } }
https://w.atwiki.jp/ce00582/pages/4162.html
class ex25{ double mis[][]=new double[100][51]; double mos[][]=new double[100][51]; double m2by[][]=new double[200][100]; double alpha[]=new double[100]; double beta[]=new double[100]; double gamma[]=new double[100]; double theta[]=new double[100]; double mtunew1[]=new double[200]; int byear,cho,car,age; double z1,z2,z3,z4,z5,z6,z7; double v; void makedata(String file){ ex16 sub1=new ex16(); sub1.makedata(file); m2by=sub1.m2by; data151 sub2=new data151(); sub2.makedata(); alpha=sub2.alpha; beta=sub2.beta; gamma=sub2.gamma; data152 sub3=new data152(); sub3.makedata(); theta=sub3.mtheta; cho=1900; for(byear=1990; byear 2035; byear++){ for(age=15;age 65;age++){ for(car=0;car 50;car++){ mis[age][car]=0; mos[age][car]=0; } } for(age=16;age 65;age++){ z1= (1 - gamma[age - 1])* m2by[byear-cho][age-1]; z2=m2by[byear-cho][age] - z1; if(z2 0)z2 = 0; z3 =(1 - theta[age]) * z2; z4 = theta[age] * z2; mis[age][1] = z3; z5 = 0; for(car=1;car 50;car++){ z5 = z5 + mos[age-1][car]; } if(z5 == 0)z5 = 1; v=(double)z4/z5; if(v 1)v = 1; for(car=2;car 50;car++){ z6 =(1 - gamma[age - 1]) *mis[age-1][car-1]; mis[age][car]=z6+v * mos[age-1][car-1]; } for(car=1;car 50;car++){ z7=(gamma[age - 1] - alpha[age - 1] - beta[age-1]) * mis[age-1][car]; mos[age][car] = z7+(1 - alpha[age - 1] - v) * mos[age-1][car]; } } z1=0; for(car=1;car 25;car++){ z1 = z1 + mis[64][car] + mos[64][car]; } mtunew1[byear-cho] = z1; } } }
https://w.atwiki.jp/metalmetabo/pages/32.html
- visitors Development of network-based pathway definitions the need to analyze real metabolic networks nhahocotton.org.vn [PDF]BO Palsson, ND Price, JA Papin - Update, 2003 - nhahocotton.org.vn http //scholar.google.com/scholar?q=related RJrIZTi52eQJ scholar.google.com/ hl=ja as_sdt=2000 ... A recent article [1] addresses the important issue of network-based metabolic pathway analysis. ... References 1 Klamt, S. and Stelling, J. (2003) Two approaches for metabolic pathway analysis? Trends Biotechnol. 21, 64–69 2 Karp, PD et al. ... PathFinder reconstruction and dynamic visualization of metabolic pathways oxfordjournals.org [PDF]A Goesmann, M Haubrock, F Meyer, J … - …, 2002 - Oxford Univ Press http //scholar.google.com/scholar?q=related tN609hXVn9QJ scholar.google.com/ hl=ja as_sdt=2000 ... database. Nucleic Acids Res., 26, 43–45. Tohsato,Y., Matsuda,H. and Hashimoto,A.(2000) A multiple align- ment algorithm for metabolic pathway analysis using enzyme hierarchy. Proceedings, ISMB 2000. pp. 376–383. Wackett ... Toward metabolic phenomics analysis of genomic data using flux balances dss.go.th [PDF]CH Schilling, JS Edwards, BO … - Biotechnology progress, 1999 - Wiley Online Library http //scholar.google.com/scholar?q=related 5xFNmiGLuFoJ scholar.google.com/ hl=ja as_sdt=2000 ... This approach of metabolic pathway analysis accompanied with FBA techniques can allow one to assess the basic structural capabilities and fitness of an organism as a result of the pathways that are theoretically present within the cell. ... Robustness Analysis of the Escherichiacoli Metabolic Network dss.go.th [PDF]JS Edwards, BO Palsson - Biotechnology Progress, 2000 - interscience.wiley.com http //scholar.google.com/scholar?q=related F73ImcZpznMJ scholar.google.com/ hl=ja as_sdt=2000 Page 1. Robustness Analysis of the Escherichia coli Metabolic Network Jeremy S.Edwards† and Bernhard O. Palsson* Department of Bioengineering, University of California-San Diego, La Jolla, California 92093-0412 Genomic ... FluxAnalyzer exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps oxfordjournals.org [PDF]S Klamt, J Stelling, M Ginkel, ED Gilles - Bioinformatics, 2003 - Oxford Univ Press http //scholar.google.com/scholar?q=related vOydM3d06iMJ scholar.google.com/ hl=ja as_sdt=2000 ... additionally reversibility and capacity restrictions for each reaction. Metabolic Pathway Analysis (MPA) searches for meaningful structural and functional units in metabolic networks. The two most promising, very similar ap- proaches ... Integrating cybernetic modeling with pathway analysis provides a dynamic, systems-level description of metabolic control JD Young, KL Henne, JA Morgan, AE … - Biotechnology and …, 2008 - interscience.wiley.com http //scholar.google.com/scholar?q=related SiQjLbrsCw4J scholar.google.com/ hl=ja as_sdt=2000 ... biochemical networks. Combining cybernetic control laws with concepts from metabolic pathway analysis has culminated in a sys- tematic strategy for constructing cybernetic models, which was previously lacking. The newly ... Exploring the pathway structure of metabolism decomposition into subnetworks and application to Mycoplasma pneumoniae oxfordjournals.org [PDF]S Schuster, T Pfeiffer, F Moldenhauer, I Koch, T … - …, 2002 - Oxford Univ Press http //scholar.google.com/scholar?q=related o1Qpi78HxmoJ scholar.google.com/ hl=ja as_sdt=2000 Page 1. BIOINFORMATICS Vol. 18 no. 2 2002 Pages 351–361 Exploring the pathway structure of metabolism decomposition into subnetworks and application to Mycoplasma pneumoniae S. Schuster 1 , T. Pfeiffer 2 , F. Moldenhauer 1 , I. Koch 3 and T. Dandekar 4, 5 ... The complete genome sequence of the gastric pathogen Helicobacter pylori JF Tomb, O White, AR Kerlavage, RA Clayton, GG … - Nature, 1997 - nature.com http //scholar.google.com/scholar?q=related Eo36dy8hFLcJ scholar.google.com/ hl=ja as_sdt=2000 ... Top of page Metabolism. Metabolic pathway analysis of the H. pylori genome suggests the following features. H. pylori uses glucose as the only source of carbohydrate and the main source for substrate-level phosphorylation. ... Deriving phylogenetic trees from the similarity analysis of metabolic pathways oxfordjournals.org [PDF]M Heymans, AK Singh - Bioinformatics, 2003 - Oxford Univ Press http //scholar.google.com/scholar?q=related Y2vvexN5fz8J scholar.google.com/ hl=ja as_sdt=2000 Page 1. BIOINFORMATICS Vol. 19 Suppl. 1 2003, pages i138–i146 DOI 10.1093/bioinformatics/btg1018 Deriving phylogenetic trees from the similarity analysis of metabolic pathways Maureen Heymans and Ambuj K. Singh ∗ ... Treatment of multifunctional enzymes in metabolic pathway analysis S Schuster, I Zevedei-Oancea - Biophysical chemistry, 2002 - Elsevier http //scholar.google.com/scholar?q=related G_O7SiZhvKsJ scholar.google.com/ hl=ja as_sdt=2000 In metabolic pathway analysis, it should be considered that many enzymes operate with low specificity (eg nucleoside diphosphokinase, uridine kinase, transketolase, aldolase), so that various substrates and products can be converted. Here, we analyze the effect of ...
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package docomo; public class city { double alpha,beta,theta; int[] p=new int[101]; int[] q=new int[101]; double[] n=new double[11]; double[] w=new double[11]; double[] r=new double[11]; double[] lp=new double[101]; double[] cp=new double[101]; double[] u=new double[101]; int s; void makedata(){ alpha=0.5; beta=0.7; theta=0.9; int sx,s1,s2; for(s=1;s 101;s++){ sx=p[s]-q[s]; if(sx 0)sx=-sx; s1=q[s]; n[s1]=n[s1]+Math.pow(theta,sx); } for(s=4;s 7;s++){ w[s]=beta*Math.pow(n[s],beta-1)*Math.pow(1,1-beta); r[s]=(1-beta)*Math.pow(n[s],beta)*Math.pow(1,-beta); } double lx; int t; for(s=1;s 4;s++){ lx=0; for(sx=1;sx 101;sx++){ s1=q[sx]; t=p[sx]-q[sx]; if(t 0)t=-t; if(s==p[sx])lx=lx+Math.pow(theta,t)*(1-alpha)*w[s1]; } r[s]=lx; } for(s=7;s 11;s++){ lx=0; for(sx=1;sx 101;sx++){ s1=q[sx]; t=p[sx]-q[sx]; if(t 0)t=-t; if(s==p[sx])lx=lx+Math.pow(theta,t)*(1-alpha)*w[s1]; } r[s]=lx; } for(s=1;s 101;s++){ s1=p[s]; s2=q[s]; t=s1-s2; if(t 0)t=-t; cp[s]=alpha*Math.pow(theta,t)*w[s2]; lp[s]=(1-alpha)*Math.pow(theta,t)*w[s2]/r[s1]; } for(s=1;s 101;s++){ u[s]=Math.pow(cp[s],alpha)*Math.pow(lp[s],1-alpha); } } int trial_p(){ int mode,n; mode=0; n=0; while(mode 50){ n=trial(); if(n 4)mode=100; if(n 6)mode=100; } return n; } int trial_q(){ int mode,n; mode=0; n=0; while(mode 50){ n=trial(); if(n==4)mode=100; if(n==5)mode=100; if(n==6)mode=100; } return n; } int trial(){ int n; n=(int)(10*Math.random())+1; return n; } }
https://w.atwiki.jp/metalmetabo/pages/31.html
- visitors The small world inside large metabolic networks royalsocietypublishing.org [PDF]A Wagner, DA Fell - … of the Royal Society of London …, 2001 - rspb.royalsocietypublishing.org http //scholar.google.com/scholar?q=related RzgGd87o6owJ scholar.google.com/ hl=ja as_sdt=2000 Page 1. doi 10.1098/rspb.2001.1711 , 1803-1810 268 2001 Proc. R. Soc. Lond. B Andreas Wagner and David A. Fell The small world inside large metabolic networks References http //rspb.royalsocietypublishing.org/content/268/1478/1803#related-urls Article cited in ... In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data vcu.edu [PDF]JS Edwards, RU Ibarra, BO Palsson - Nature biotechnology, 2001 - nature.com http //scholar.google.com/scholar?q=related E0x6EPMqz7kJ scholar.google.com/ hl=ja as_sdt=2000 ... J. Theor. Biol. 203, 249–83 (2000). | Article | PubMed | ISI | ChemPort |; Schilling, CH, Schuster, S., Palsson, BO Heinrich, R. Metabolic pathway analysis basic concepts and scientific applications in the post-genomic era. Biotechnol. Prog. 15, 296–303 (1999). ... The small world of metabolism stanford.edu [PDF]DA Fell, A Wagner - Nature Biotechnology, 2000 - nature.com http //scholar.google.com/scholar?q=related vJDOQbOxaVoJ scholar.google.com/ hl=ja as_sdt=2000 ... propositions. Top of page References. Schilling, CH, Schuster, S., Palsson, BO Heinrich, R. Metabolic pathway analysis basic concepts and scientific applications in the post-genomic era. Biotechnol. Prog. 15, 296–303 (1999). ... Metabolic pathways in the post-genome era psu.edu [PDF]JA Papin, ND Price, SJ Wiback, DA Fell, BO … - Trends in Biochemical …, 2003 - Elsevier http //scholar.google.com/scholar?q=related yCUSHfucTk8J scholar.google.com/ hl=ja as_sdt=2000 ... All possible flux distributions of a metabolic network lie within the 'cone' circumscribed by the pathways. View Within Article. 1. History of network-based metabolic pathway analyses. Network-based metabolic pathway analysis has a relatively short history. ... The Escherichia coli MG1655 in silico metabolic genotype its definition, characteristics, and capabilities pnas.org [HTML]JS Edwards, BO Palsson - … of Sciences of the United States …, 2000 - National Acad Sciences http //scholar.google.com/scholar?q=related ylmoiEQjy08J scholar.google.com/ hl=ja as_sdt=2000 ... These methods include approaches such as metabolic control analysis (3, 4), flux balance analysis (FBA) (5–7), metabolic pathway analysis (8–11, 69), cybernetic modeling (12), biochemical systems theory (13), temporal decomposition (14), and so on. ... Analysis of metabolic capabilities using singular value decomposition of extreme pathway matrices nih.gov [HTML]ND Price, JL Reed, JA Papin, I Famili, BO Palsson - Biophysical journal, 2003 - Elsevier http //scholar.google.com/scholar?q=related vBbGDsA7avcJ scholar.google.com/ hl=ja as_sdt=2000 Phylogenetic analysis based on genome-scale metabolic pathway reaction content silicobio.com [PDF]SH Hong, TY Kim, SY Lee - Applied microbiology and biotechnology, 2004 - Springer http //scholar.google.com/scholar?q=related 2MW2dxoUfOIJ scholar.google.com/ hl=ja as_sdt=2000 Page 1. Appl Microbiol Biotechnol (2004) 65 203–210 DOI 10.1007/s00253-004-1641-3 GENOMICS AND PROTEOMICS SH Hong . TY Kim . SY Lee Phylogenetic analysis based on genome-scale metabolic pathway reaction content ... Extreme pathway lengths and reaction participation in genome-scale metabolic networks cshlp.org [HTML]JA Papin, ND Price, BØ Palsson - Genome research, 2002 - genome.cshlp.org http //scholar.google.com/scholar?q=related o1ZwGAWEzSUJ scholar.google.com/ hl=ja as_sdt=2000 ... Schilling CH,; Schuster S.,; Palsson BO,; Heinrich R. (1999) Metabolic pathway analysis Basic concepts and scientific applications in the post-genomic era. Biotech. Prog. 15 296–303. ... Flux coupling analysis of genome-scale metabolic network reconstructions cshlp.org [HTML]AP Burgard, EV Nikolaev, CH Schilling, CD … - Genome …, 2004 - genome.cshlp.org http //scholar.google.com/scholar?q=related IXLhT3n9KwQJ scholar.google.com/ hl=ja as_sdt=2000 Metabolic modeling of microbial strains in silico ru.nl [PDF]MW Covert, CH Schilling, I Famili, JS Edwards, … - Trends in Biochemical …, 2001 - Elsevier http //scholar.google.com/scholar?q=related pjh6sWp3MRMJ scholar.google.com/ hl=ja as_sdt=2000 ... References. Schilling, CH et al., Metabolic pathway analysis basic concepts and scientific applications in the post-genomic era. Biotechnol. Prog. 15, pp. 296–303. Schilling, CH et al., Towards metabolic phenomics analysis of genomic data using flux balances. Biotechnol. ...
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パズルモード 最短手数情報 最短手数 既出のものと違う手数で出た場合は、MOVESの少ない方を採用してください。 色 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 赤 10 16 9 16 14 8 40 12 18 25 19 36 31 13 21 緑 5 14 12 30 39 11 13 12 36 9 12 17 29 19 25 青 12 9 23 25 20 30 16 9 41 15 8 17 28 29 29 水 26 64 54 40 5 18 17 26 20 20 13 25 23 41 15 紫 33 19 19 29 33 28 43 20 17 21 36 40 24 22 16 黄 46 33 37 25 17 50 28 45 75 39 X X X X X
https://w.atwiki.jp/ce00582/pages/4163.html
class ex26{ double mis[][]=new double[100][51]; double mos[][]=new double[100][51]; double f2by[][]=new double[200][100]; double alpha[]=new double[100]; double beta[]=new double[100]; double gamma[]=new double[100]; double theta[]=new double[100]; double ftunew1[]=new double[200]; int byear,cho,car,age; double z1,z2,z3,z4,z5,z6,z7; double v; void makedata(String file){ ex16 sub1=new ex16(); sub1.makedata(file); f2by=sub1.f2by; data18 d18=new data18(); d18.makedata(); alpha=d18.alpha; beta=d18.beta; gamma=d18.gamma; data152 d152=new data152(); d152.makedata(); theta=d152.ftheta; cho=1900; for(byear=1990; byear 2035; byear++){ for(age=15;age 65;age++){ for(car=0;car 50;car++){ mis[age][car]=0; mos[age][car]=0; } } for(age=16;age 65;age++){ z1= (1 - gamma[age - 1])* f2by[byear-cho][age-1]; z2=f2by[byear-cho][age] - z1; if(z2 0)z2 = 0; z3 =(1 - theta[age]) * z2; z4 = theta[age] * z2; mis[age][1] = z3; z5 = 0; for(car=1;car 50;car++){ z5 = z5 + mos[age-1][car]; } if(z5 == 0)z5 = 1; v=(double)z4/z5; if(v 1)v = 1; for(car=2;car 50;car++){ z6 =(1 - gamma[age - 1]) *mis[age-1][car-1]; mis[age][car]=z6+v * mos[age-1][car-1]; } for(car=1;car 50;car++){ z7=(gamma[age - 1] - alpha[age - 1] - beta[age-1]) * mis[age-1][car]; mos[age][car] = z7+(1 - alpha[age - 1] - v) * mos[age-1][car]; } } z1=0; for(car=1;car 25;car++){ z1 = z1 + mis[64][car] + mos[64][car]; } ftunew1[byear-cho] = z1; } } }
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更新履歴 取得中です。