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clustergrammer

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This is a clustergram implemented in D3.js. I started from the example http://bost.ocks.org/mike/miserables/ and added the following features

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var reposition_tile_highlight = require('./reposition_tile_highlight'); var toggle_dendro_view = require('../dendrogram/toggle_dendro_view'); var ini_zoom_info = require('../zoom/ini_zoom_info'); var get_previous_zoom = require('../zoom/get_previous_zoom'); var calc_downsampled_levels = require('../matrix/calc_downsampled_levels'); module.exports = function row_reorder(cgm, row_selection, inst_row) { var params = cgm.params; var prev_zoom = get_previous_zoom(params); if (prev_zoom.zoom_y === 1 && prev_zoom.zoom_x ===1){ params.viz.inst_order.row = 'custom'; toggle_dendro_view(cgm, 'col'); d3.selectAll(params.root+' .toggle_col_order .btn') .classed('active',false); params.viz.run_trans = true; var mat = $.extend(true, {}, params.matrix.matrix); var row_nodes = params.network_data.row_nodes; var col_nodes = params.network_data.col_nodes; // find the index of the row var tmp_arr = []; row_nodes.forEach(function(node) { tmp_arr.push(node.name); }); // find index inst_row = _.indexOf(tmp_arr, inst_row); // gather the values of the input genes tmp_arr = []; col_nodes.forEach(function(node, index) { tmp_arr.push( mat[inst_row].row_data[index].value); }); // sort the rows var tmp_sort = d3.range(tmp_arr.length).sort(function(a, b) { return tmp_arr[b] - tmp_arr[a]; }); // resort cols (cols are reorderd by double clicking a row) params.viz.x_scale.domain(tmp_sort); // save to custom col order params.matrix.orders.custom_row = tmp_sort; // reorder matrix //////////////////// var t; if (params.network_data.links.length > params.matrix.def_large_matrix){ t = d3.select(params.root + ' .viz_svg'); } else { t = d3.select(params.root + ' .viz_svg').transition().duration(2500); } var col_nodes_names = params.network_data.col_nodes_names; // Move Col Labels t.select('.col_zoom_container') .selectAll('.col_label_text') .attr('transform', function(d) { var inst_index = _.indexOf(col_nodes_names, d.name); return 'translate(' + params.viz.x_scale(inst_index) + ')rotate(-90)'; }); // reorder col_class groups t.selectAll('.col_cat_group') .attr('transform', function(d) { var inst_index = _.indexOf(col_nodes_names, d.name); return 'translate(' + params.viz.x_scale(inst_index) + ',0)'; }); // reorder tiles in matrix (do not change row order) if (params.viz.ds_level === -1){ t.selectAll('.tile') .attr('transform', function(d) { return 'translate(' + params.viz.x_scale(d.pos_x) + ',0)'; }); t.selectAll('.tile_up') .attr('transform', function(d) { return 'translate(' + params.viz.x_scale(d.pos_x) + ',0)'; }); t.selectAll('.tile_dn') .attr('transform', function(d) { return 'translate(' + params.viz.x_scale(d.pos_x) + ',0)'; }); } // highlight selected row /////////////////////////////// // unhilight and unbold all columns (already unbolded earlier) d3.selectAll(params.root+' .row_label_group') .select('rect') .style('opacity', 0); // highlight column name d3.select(row_selection) .select('rect') .style('opacity', 1); reposition_tile_highlight(params); // redefine x and y positions params.network_data.links.forEach(function(d){ d.x = params.viz.x_scale(d.target); d.y = params.viz.y_scale(d.source); }); params.zoom_info = ini_zoom_info(); setTimeout(function(){ params.viz.run_trans = false; }, 2500); // calculate downsmapling if necessary if (params.viz.ds_num_levels > 0 && params.viz.ds_level >=0){ calc_downsampled_levels(params); // var zooming_stopped = true; // var zooming_out = true; // var make_all_rows = true; // // show_visible_area is also run with two_translate_zoom, but at that point // // the parameters were not updated and two_translate_zoom if only run // // if needed to reset zoom // show_visible_area(cgm, zooming_stopped, zooming_out, make_all_rows); } } };