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0, + "c1_count": 202118, + "c2_count": 62, + "p": 0, + "c1_in_c2_p": 0, + "c2_in_c1_p": 0 + }, + "21|InPACdb": { + "ol": 6, + "c1_count": 202118, + "c2_count": 126, + "p": 4.76, + "c1_in_c2_p": 0, + "c2_in_c1_p": 4.76 + }, + "26|Mitishamba database": { + "ol": 10, + "c1_count": 202118, + "c2_count": 1250, + "p": 0.8, + "c1_in_c2_p": 0, + "c2_in_c1_p": 0.8 + }, + "8|ChEBI NPs": { + "ol": 1346, + "c1_count": 202118, + "c2_count": 25001, + "p": 5.38, + "c1_in_c2_p": 0.67, + "c2_in_c1_p": 5.38 + }, + "34|NuBBEDB": { + "ol": 32, + "c1_count": 202118, + "c2_count": 3292, + "p": 0.97, + "c1_in_c2_p": 0.02, + "c2_in_c1_p": 0.97 + }, + "6|BitterDB": { + "ol": 57, + "c1_count": 202118, + "c2_count": 764, + "p": 7.46, + "c1_in_c2_p": 0.03, + "c2_in_c1_p": 7.46 + }, + "18|HIT (Herbal Ingredients Targets)": { + "ol": 28, + "c1_count": 202118, + "c2_count": 684, + "p": 4.09, + "c1_in_c2_p": 0.01, + "c2_in_c1_p": 4.09 + }, + "32|NPCARE": { + "ol": 39, + "c1_count": 202118, + "c2_count": 1443, + "p": 2.7, + "c1_in_c2_p": 0.02, + "c2_in_c1_p": 2.7 + }, + "11|CMAUP (cCollective molecular activities of useful plants)": { + "ol": 2208, + "c1_count": 202118, + "c2_count": 69234, + "p": 3.19, + "c1_in_c2_p": 1.09, + "c2_in_c1_p": 3.19 + }, + "12|ConMedNP": { + "ol": 12, + "c1_count": 202118, + "c2_count": 4314, + "p": 0.28, + "c1_in_c2_p": 0.01, + "c2_in_c1_p": 0.28 + }, + "15|FooDB": { + "ol": 55348, + "c1_count": 202118, + "c2_count": 101775, + "p": 54.38, + "c1_in_c2_p": 27.38, + "c2_in_c1_p": 54.38 + }, + "33|NPEdia": { + "ol": 1675, + "c1_count": 202118, + "c2_count": 70137, + "p": 2.39, + "c1_in_c2_p": 0.83, + "c2_in_c1_p": 2.39 + }, + "41|Specs Natural Products": { + "ol": 36, + "c1_count": 202118, + "c2_count": 1129, + "p": 3.19, + "c1_in_c2_p": 0.02, + "c2_in_c1_p": 3.19 + }, + "46|TCMID (Traditional Chinese Medicine Integrated Database)": { + "ol": 787, + "c1_count": 202118, + "c2_count": 22993, + "p": 3.42, + "c1_in_c2_p": 0.39, + "c2_in_c1_p": 3.42 + }, + "22|InterBioScreen Ltd": { + "ol": 1722, + "c1_count": 202118, + "c2_count": 96073, + "p": 1.79, + "c1_in_c2_p": 0.85, + "c2_in_c1_p": 1.79 + }, + "48|TPPT (Toxic Plants\u2013PhytoToxins)": { + "ol": 61, + "c1_count": 202118, + "c2_count": 2663, + "p": 2.29, + "c1_in_c2_p": 0.03, + "c2_in_c1_p": 2.29 + }, + "9|ChEMBL NPs": { + "ol": 113, + "c1_count": 202118, + "c2_count": 3235, + "p": 3.49, + "c1_in_c2_p": 0.06, + "c2_in_c1_p": 3.49 + }, + "13|ETM (Ethiopian Traditional Medicine) DB": { + "ol": 119, + "c1_count": 202118, + "c2_count": 2346, + "p": 5.07, + "c1_in_c2_p": 0.06, + "c2_in_c1_p": 5.07 + }, + "55|Australian natural products": { + "ol": 534, + "c1_count": 202118, + "c2_count": 23698, + "p": 2.25, + "c1_in_c2_p": 0.26, + "c2_in_c1_p": 2.25 + }, + "60|Watermelon": { + "ol": 98, + "c1_count": 202118, + "c2_count": 1580, + "p": 6.2, + "c1_in_c2_p": 0.05, + "c2_in_c1_p": 6.2 + }, + "4|AnalytiCon Discovery NPs": { + "ol": 54, + "c1_count": 202118, + "c2_count": 7125, + "p": 0.76, + "c1_in_c2_p": 0.03, + "c2_in_c1_p": 0.76 + }, + "25|Marine Natural Products": { + "ol": 196, + "c1_count": 202118, + "c2_count": 13051, + "p": 1.5, + "c1_in_c2_p": 0.1, + "c2_in_c1_p": 1.5 + }, + "29|NPACT": { + "ol": 35, + "c1_count": 202118, + "c2_count": 2647, + "p": 1.32, + "c1_in_c2_p": 0.02, + "c2_in_c1_p": 1.32 + }, + "30|NPASS": { + "ol": 4175, + "c1_count": 202118, + "c2_count": 138519, + "p": 3.01, + "c1_in_c2_p": 2.07, + "c2_in_c1_p": 3.01 + }, + "42|Spektraris NMR": { + "ol": 1, + "c1_count": 202118, + "c2_count": 469, + "p": 0.21, + "c1_in_c2_p": 0, + "c2_in_c1_p": 0.21 + }, + "50|UNPD (Universal Natural Products Database)": { + "ol": 637, + "c1_count": 202118, + "c2_count": 157043, + "p": 0.41, + "c1_in_c2_p": 0.32, + "c2_in_c1_p": 0.41 + }, + "61|Latin America dataset": { + "ol": 297, + "c1_count": 202118, + "c2_count": 21102, + "p": 1.41, + "c1_in_c2_p": 0.15, + "c2_in_c1_p": 1.41 + }, + "44|Super Natural II": { + "ol": 55863, + "c1_count": 202118, + "c2_count": 488661, + "p": 27.64, + "c1_in_c2_p": 27.64, + "c2_in_c1_p": 11.43 + }, + "49|UEFS (Natural Products Databse of the UEFS)": { + "ol": 3, + "c1_count": 202118, + "c2_count": 814, + "p": 0.37, + "c1_in_c2_p": 0, + "c2_in_c1_p": 0.37 + }, + "53|CyanoMetNP": { + "ol": 118, + "c1_count": 202118, + "c2_count": 3735, + "p": 3.16, + "c1_in_c2_p": 0.06, + "c2_in_c1_p": 3.16 + }, + "54|DrugBankNP": { + "ol": 579, + "c1_count": 202118, + "c2_count": 13571, + "p": 4.27, + "c1_in_c2_p": 0.29, + "c2_in_c1_p": 4.27 + }, + "56|EMNPD": { + "ol": 415, + "c1_count": 202118, + "c2_count": 8808, + "p": 4.71, + "c1_in_c2_p": 0.21, + "c2_in_c1_p": 4.71 + }, + "14|Exposome-explorer": { + "ol": 69, + "c1_count": 202118, + "c2_count": 580, + "p": 11.9, + "c1_in_c2_p": 0.03, + "c2_in_c1_p": 11.9 + }, + "62|CMNPD": { + "ol": 912, + "c1_count": 202118, + "c2_count": 51969, + "p": 1.75, + "c1_in_c2_p": 0.45, + "c2_in_c1_p": 1.75 + }, + "63|Supernatural3": { + "ol": 202118, + "c1_count": 202118, + "c2_count": 202118, + "p": 100, + "c1_in_c2_p": 100, + "c2_in_c1_p": 100 + } + } + } +} diff --git a/resources/views/livewire/collection-overlap.blade.php b/resources/views/livewire/collection-overlap.blade.php index 0819336..c9ff8f6 100644 --- a/resources/views/livewire/collection-overlap.blade.php +++ b/resources/views/livewire/collection-overlap.blade.php @@ -1,5 +1,5 @@
-

+

Collection Overlap Heatmap

@@ -13,10 +13,14 @@ function initHeatmap() { // Clear any existing chart d3.select("#heatmap").selectAll("*").remove(); - // Sort collections based on c_counts - const sortedCollections = Object.entries(data.c_counts) - .sort((a, b) => b[1] - a[1]) // Sort in descending order - .map(entry => entry[0].split('|')[1]); + // Get unique collection names and sort by size + const collectionNames = [...new Set( + Object.keys(data.ol_d).map(key => key.split('|')[1]) + )].sort((a, b) => { + const aKey = Object.keys(data.ol_d).find(k => k.endsWith(a)); + const bKey = Object.keys(data.ol_d).find(k => k.endsWith(b)); + return data.ol_s[bKey][bKey].c1_count - data.ol_s[aKey][aKey].c1_count; + }); // Dynamic sizing const containerWidth = document.getElementById('heatmap').offsetWidth; @@ -37,15 +41,15 @@ function initHeatmap() { .append("g") .attr("transform", `translate(${margin.left},${margin.top})`); - // Create scales with sorted collections + // Create scales const x = d3.scaleBand() .range([0, width]) - .domain(sortedCollections) + .domain(collectionNames) .padding(0.05); const y = d3.scaleBand() .range([0, height]) - .domain(sortedCollections) + .domain(collectionNames) .padding(0.05); const color = d3.scaleSequential() @@ -84,16 +88,22 @@ function initHeatmap() { // Add cells Object.keys(data.ol_d).forEach(rowKey => { + const rowName = rowKey.split('|')[1]; + Object.keys(data.ol_d[rowKey]).forEach(colKey => { - const rowName = rowKey.split('|')[1]; const colName = colKey.split('|')[1]; + const stats = data.ol_s[rowKey][colKey]; + + // The cell value represents how much of the x-axis dataset (colName) + // is contained in the y-axis dataset (rowName) + const overlapPercentage = stats.c2_in_c1_p; svg.append("rect") .attr("x", x(colName)) .attr("y", y(rowName)) .attr("width", x.bandwidth()) .attr("height", y.bandwidth()) - .style("fill", color(data.ol_d[rowKey][colKey])) + .style("fill", color(overlapPercentage)) .style("stroke", "white") .style("stroke-width", 1) .on("mouseover", function(event) { @@ -104,9 +114,8 @@ function initHeatmap() { tooltip .style("visibility", "visible") .html(` -
${rowName} vs. ${colName}
-
Overlap: ${data.ol_d[rowKey][colKey].toFixed(1)}%
-
Overlap Count: ${data.ol_s[rowKey][colKey]['ol'].toLocaleString()} molecules
+
${rowName} ⟷ ${colName}
+
${colName} in ${rowName}: ${overlapPercentage.toFixed(1)}%
`) .style("left", (event.pageX + 10) + "px") .style("top", (event.pageY - 10) + "px"); @@ -174,5 +183,4 @@ function initHeatmap() { // Add resize handler window.addEventListener('resize', () => { initHeatmap(); -}); - \ No newline at end of file +}); \ No newline at end of file