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| 1 | +// anyplot.ai |
| 2 | +// network-bipartite: Bipartite Network Graph |
| 3 | +// Library: d3 7.9.0 | JavaScript 22.23.2 |
| 4 | +// Quality: 92/100 | Created: 2026-09-05 |
| 5 | + |
| 6 | +const t = window.ANYPLOT_TOKENS; |
| 7 | +const { width, height } = window.ANYPLOT_SIZE; |
| 8 | + |
| 9 | +// --- Data (in-memory, deterministic) ---------------------------------------- |
| 10 | +// Gene-disease association network: which genetic markers are linked to which |
| 11 | +// conditions, and how strong the evidence for each link is. |
| 12 | +const genes = [ |
| 13 | + "BRCA1", "BRCA2", "TP53", "EGFR", "KRAS", "MYC", "PTEN", |
| 14 | + "APC", "VHL", "RB1", "ATM", "CDKN2A", "MLH1", "APOE", |
| 15 | +]; |
| 16 | +const diseases = [ |
| 17 | + "Breast Cancer", "Ovarian Cancer", "Lung Cancer", "Colorectal Cancer", |
| 18 | + "Pancreatic Cancer", "Renal Cell Carcinoma", "Retinoblastoma", |
| 19 | + "Melanoma", "Lynch Syndrome", "Alzheimer's Disease", |
| 20 | +]; |
| 21 | +const links = [ |
| 22 | + { source: "BRCA1", target: "Breast Cancer", weight: 0.95 }, |
| 23 | + { source: "BRCA1", target: "Ovarian Cancer", weight: 0.85 }, |
| 24 | + { source: "BRCA2", target: "Breast Cancer", weight: 0.9 }, |
| 25 | + { source: "BRCA2", target: "Ovarian Cancer", weight: 0.75 }, |
| 26 | + { source: "BRCA2", target: "Pancreatic Cancer", weight: 0.35 }, |
| 27 | + { source: "TP53", target: "Breast Cancer", weight: 0.6 }, |
| 28 | + { source: "TP53", target: "Lung Cancer", weight: 0.7 }, |
| 29 | + { source: "TP53", target: "Colorectal Cancer", weight: 0.55 }, |
| 30 | + { source: "TP53", target: "Pancreatic Cancer", weight: 0.4 }, |
| 31 | + { source: "TP53", target: "Melanoma", weight: 0.4 }, |
| 32 | + { source: "EGFR", target: "Lung Cancer", weight: 0.9 }, |
| 33 | + { source: "EGFR", target: "Colorectal Cancer", weight: 0.35 }, |
| 34 | + { source: "KRAS", target: "Lung Cancer", weight: 0.65 }, |
| 35 | + { source: "KRAS", target: "Colorectal Cancer", weight: 0.85 }, |
| 36 | + { source: "KRAS", target: "Pancreatic Cancer", weight: 0.6 }, |
| 37 | + { source: "MYC", target: "Breast Cancer", weight: 0.5 }, |
| 38 | + { source: "MYC", target: "Lung Cancer", weight: 0.45 }, |
| 39 | + { source: "MYC", target: "Colorectal Cancer", weight: 0.4 }, |
| 40 | + { source: "PTEN", target: "Breast Cancer", weight: 0.55 }, |
| 41 | + { source: "PTEN", target: "Melanoma", weight: 0.5 }, |
| 42 | + { source: "PTEN", target: "Renal Cell Carcinoma", weight: 0.3 }, |
| 43 | + { source: "APC", target: "Colorectal Cancer", weight: 0.95 }, |
| 44 | + { source: "VHL", target: "Renal Cell Carcinoma", weight: 0.9 }, |
| 45 | + { source: "RB1", target: "Retinoblastoma", weight: 0.95 }, |
| 46 | + { source: "RB1", target: "Lung Cancer", weight: 0.3 }, |
| 47 | + { source: "ATM", target: "Breast Cancer", weight: 0.45 }, |
| 48 | + { source: "CDKN2A", target: "Melanoma", weight: 0.85 }, |
| 49 | + { source: "CDKN2A", target: "Lung Cancer", weight: 0.3 }, |
| 50 | + { source: "MLH1", target: "Lynch Syndrome", weight: 0.95 }, |
| 51 | + { source: "MLH1", target: "Colorectal Cancer", weight: 0.7 }, |
| 52 | + { source: "APOE", target: "Alzheimer's Disease", weight: 0.9 }, |
| 53 | +]; |
| 54 | + |
| 55 | +// Degree = number of edges touching a node, drives node radius. |
| 56 | +const degree = new Map([...genes, ...diseases].map((name) => [name, 0])); |
| 57 | +for (const l of links) { |
| 58 | + degree.set(l.source, degree.get(l.source) + 1); |
| 59 | + degree.set(l.target, degree.get(l.target) + 1); |
| 60 | +} |
| 61 | + |
| 62 | +// --- Reduce edge crossings: barycenter reordering within each column -------- |
| 63 | +// Alternately sort each column by the mean position of its neighbors in the |
| 64 | +// opposite column, converging toward fewer crossing edges. |
| 65 | +function barycenterOrder(names, neighbors, oppositeIndex) { |
| 66 | + return [...names].sort((a, b) => { |
| 67 | + const na = neighbors.get(a); |
| 68 | + const nb = neighbors.get(b); |
| 69 | + const ba = na.length ? d3.mean(na, (n) => oppositeIndex.get(n)) : Infinity; |
| 70 | + const bb = nb.length ? d3.mean(nb, (n) => oppositeIndex.get(n)) : Infinity; |
| 71 | + return ba - bb; |
| 72 | + }); |
| 73 | +} |
| 74 | +const geneNeighbors = new Map(genes.map((g) => [g, links.filter((l) => l.source === g).map((l) => l.target)])); |
| 75 | +const diseaseNeighbors = new Map(diseases.map((d) => [d, links.filter((l) => l.target === d).map((l) => l.source)])); |
| 76 | + |
| 77 | +let orderedGenes = genes; |
| 78 | +let orderedDiseases = diseases; |
| 79 | +for (let i = 0; i < 4; i++) { |
| 80 | + const diseaseIndex = new Map(orderedDiseases.map((name, idx) => [name, idx])); |
| 81 | + orderedGenes = barycenterOrder(orderedGenes, geneNeighbors, diseaseIndex); |
| 82 | + const geneIndex = new Map(orderedGenes.map((name, idx) => [name, idx])); |
| 83 | + orderedDiseases = barycenterOrder(orderedDiseases, diseaseNeighbors, geneIndex); |
| 84 | +} |
| 85 | + |
| 86 | +// --- Layout ------------------------------------------------------------------ |
| 87 | +const margin = { top: 135, right: 230, bottom: 140, left: 130 }; |
| 88 | +const iw = width - margin.left - margin.right; |
| 89 | +const ih = height - margin.top - margin.bottom; |
| 90 | +const leftX = 0; |
| 91 | +const rightX = iw; |
| 92 | + |
| 93 | +function columnPositions(names) { |
| 94 | + const step = ih / (names.length + 1); |
| 95 | + return new Map(names.map((name, i) => [name, (i + 1) * step])); |
| 96 | +} |
| 97 | +const genesY = columnPositions(orderedGenes); |
| 98 | +const diseasesY = columnPositions(orderedDiseases); |
| 99 | + |
| 100 | +const maxDegree = d3.max([...degree.values()]); |
| 101 | +const radius = d3.scaleSqrt().domain([1, maxDegree]).range([9, 26]); |
| 102 | +const weightExtent = d3.extent(links, (d) => d.weight); |
| 103 | +const edgeWidth = d3.scaleLinear().domain(weightExtent).range([1.25, 6]); |
| 104 | +const edgeOpacity = d3.scaleLinear().domain(weightExtent).range([0.22, 0.8]); |
| 105 | + |
| 106 | +// --- SVG mount ----------------------------------------------------------- |
| 107 | +const svg = d3.select("#container").append("svg").attr("width", width).attr("height", height); |
| 108 | +const g = svg.append("g").attr("transform", `translate(${margin.left},${margin.top})`); |
| 109 | + |
| 110 | +// --- Edges: d3-shape horizontal links between the two columns --------------- |
| 111 | +const linkGenerator = d3.linkHorizontal() |
| 112 | + .source((d) => [leftX, genesY.get(d.source)]) |
| 113 | + .target((d) => [rightX, diseasesY.get(d.target)]); |
| 114 | + |
| 115 | +g.append("g") |
| 116 | + .selectAll("path") |
| 117 | + .data(links) |
| 118 | + .join("path") |
| 119 | + .attr("d", linkGenerator) |
| 120 | + .attr("fill", "none") |
| 121 | + .attr("stroke", t.inkSoft) |
| 122 | + .attr("stroke-width", (d) => edgeWidth(d.weight)) |
| 123 | + .attr("stroke-opacity", (d) => edgeOpacity(d.weight)); |
| 124 | + |
| 125 | +// --- Nodes: genes (left column) -------------------------------------------- |
| 126 | +g.append("g") |
| 127 | + .selectAll("circle") |
| 128 | + .data(orderedGenes) |
| 129 | + .join("circle") |
| 130 | + .attr("cx", leftX) |
| 131 | + .attr("cy", (d) => genesY.get(d)) |
| 132 | + .attr("r", (d) => radius(degree.get(d))) |
| 133 | + .attr("fill", t.palette[0]) |
| 134 | + .attr("stroke", t.pageBg) |
| 135 | + .attr("stroke-width", 2); |
| 136 | + |
| 137 | +g.append("g") |
| 138 | + .selectAll("text") |
| 139 | + .data(orderedGenes) |
| 140 | + .join("text") |
| 141 | + .attr("x", (d) => leftX - radius(degree.get(d)) - 12) |
| 142 | + .attr("y", (d) => genesY.get(d)) |
| 143 | + .attr("dy", "0.35em") |
| 144 | + .attr("text-anchor", "end") |
| 145 | + .attr("fill", t.inkSoft) |
| 146 | + .style("font-size", "15px") |
| 147 | + .text((d) => d); |
| 148 | + |
| 149 | +// --- Nodes: diseases (right column) ----------------------------------------- |
| 150 | +g.append("g") |
| 151 | + .selectAll("circle") |
| 152 | + .data(orderedDiseases) |
| 153 | + .join("circle") |
| 154 | + .attr("cx", rightX) |
| 155 | + .attr("cy", (d) => diseasesY.get(d)) |
| 156 | + .attr("r", (d) => radius(degree.get(d))) |
| 157 | + .attr("fill", t.palette[1]) |
| 158 | + .attr("stroke", t.pageBg) |
| 159 | + .attr("stroke-width", 2); |
| 160 | + |
| 161 | +g.append("g") |
| 162 | + .selectAll("text") |
| 163 | + .data(orderedDiseases) |
| 164 | + .join("text") |
| 165 | + .attr("x", (d) => rightX + radius(degree.get(d)) + 12) |
| 166 | + .attr("y", (d) => diseasesY.get(d)) |
| 167 | + .attr("dy", "0.35em") |
| 168 | + .attr("text-anchor", "start") |
| 169 | + .attr("fill", t.inkSoft) |
| 170 | + .style("font-size", "15px") |
| 171 | + .text((d) => d); |
| 172 | + |
| 173 | +// --- Column headers double as the set-membership legend --------------------- |
| 174 | +g.append("text") |
| 175 | + .attr("x", leftX) |
| 176 | + .attr("y", -30) |
| 177 | + .attr("text-anchor", "middle") |
| 178 | + .attr("fill", t.palette[0]) |
| 179 | + .style("font-size", "18px") |
| 180 | + .style("font-weight", "600") |
| 181 | + .text("Genes"); |
| 182 | + |
| 183 | +g.append("text") |
| 184 | + .attr("x", rightX) |
| 185 | + .attr("y", -30) |
| 186 | + .attr("text-anchor", "middle") |
| 187 | + .attr("fill", t.palette[1]) |
| 188 | + .style("font-size", "18px") |
| 189 | + .style("font-weight", "600") |
| 190 | + .text("Diseases"); |
| 191 | + |
| 192 | +// --- Legend: degree -> radius and weight -> width/opacity keys -------------- |
| 193 | +const legend = g.append("g").attr("transform", `translate(0,${ih + 55})`); |
| 194 | + |
| 195 | +legend.append("text") |
| 196 | + .attr("x", 0) |
| 197 | + .attr("y", -16) |
| 198 | + .attr("fill", t.inkSoft) |
| 199 | + .style("font-size", "13px") |
| 200 | + .style("font-weight", "600") |
| 201 | + .text("Node size = degree"); |
| 202 | + |
| 203 | +let sx = 0; |
| 204 | +for (const d of [1, maxDegree]) { |
| 205 | + const r = radius(d); |
| 206 | + legend.append("circle") |
| 207 | + .attr("cx", sx + r) |
| 208 | + .attr("cy", 10) |
| 209 | + .attr("r", r) |
| 210 | + .attr("fill", "none") |
| 211 | + .attr("stroke", t.inkSoft) |
| 212 | + .attr("stroke-width", 1.5); |
| 213 | + legend.append("text") |
| 214 | + .attr("x", sx + 2 * r + 10) |
| 215 | + .attr("y", 10) |
| 216 | + .attr("dy", "0.35em") |
| 217 | + .attr("fill", t.inkSoft) |
| 218 | + .style("font-size", "12px") |
| 219 | + .text(`degree ${d}`); |
| 220 | + sx += 2 * r + 10 + 85; |
| 221 | +} |
| 222 | + |
| 223 | +const weightX = sx + 55; |
| 224 | +legend.append("text") |
| 225 | + .attr("x", weightX) |
| 226 | + .attr("y", -16) |
| 227 | + .attr("fill", t.inkSoft) |
| 228 | + .style("font-size", "13px") |
| 229 | + .style("font-weight", "600") |
| 230 | + .text("Edge width/opacity = strength"); |
| 231 | + |
| 232 | +let wx = weightX; |
| 233 | +for (const w of weightExtent) { |
| 234 | + legend.append("line") |
| 235 | + .attr("x1", wx) |
| 236 | + .attr("x2", wx + 40) |
| 237 | + .attr("y1", 10) |
| 238 | + .attr("y2", 10) |
| 239 | + .attr("stroke", t.inkSoft) |
| 240 | + .attr("stroke-width", edgeWidth(w)) |
| 241 | + .attr("stroke-opacity", edgeOpacity(w)); |
| 242 | + legend.append("text") |
| 243 | + .attr("x", wx + 50) |
| 244 | + .attr("y", 10) |
| 245 | + .attr("dy", "0.35em") |
| 246 | + .attr("fill", t.inkSoft) |
| 247 | + .style("font-size", "12px") |
| 248 | + .text(w.toFixed(2)); |
| 249 | + wx += 110; |
| 250 | +} |
| 251 | + |
| 252 | +// --- Title + subtitle -------------------------------------------------------- |
| 253 | +svg.append("text") |
| 254 | + .attr("x", width / 2) |
| 255 | + .attr("y", 52) |
| 256 | + .attr("text-anchor", "middle") |
| 257 | + .attr("fill", t.ink) |
| 258 | + .style("font-size", "26px") |
| 259 | + .style("font-weight", "600") |
| 260 | + .text("network-bipartite · javascript · d3 · anyplot.ai"); |
| 261 | + |
| 262 | +svg.append("text") |
| 263 | + .attr("x", width / 2) |
| 264 | + .attr("y", 84) |
| 265 | + .attr("text-anchor", "middle") |
| 266 | + .attr("fill", t.inkSoft) |
| 267 | + .style("font-size", "16px") |
| 268 | + .text("Node size ∝ degree · edge width & opacity ∝ association strength"); |
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