mirror of
https://github.com/chanzuckerberg/cellxgene.git
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888f730526
* Refactor CSS layout and react logic for layout Fixes https://github.com/chanzuckerberg/cellxgene/issues/1022 * Menubar should wrap inside middle pane instead of overlapping left sidebar when window is scrunched * cellxgene should have a minimum width of 1240px 1. Replace absolute positioning and dimension calculation with css grid 2. Use flexbox for wrapping menubar buttons * Middle pane (graph) can calculate its own size * Removing components calculating their size/position relative to eachother increases modularity, decreases use of global variables * Improved some scrollbar behavior * Removed responsive reducer, propagating window size to components triggers unnecessary events and encourages breaking modularity; doing this made some components state agnostic Reference: https://css-tricks.com/snippets/css/complete-guide-grid/ * Reposition the continuous legend * Small fixes * Respond to feedback from @colinmegill * Respond to feedback from @colinmegill Add more documentation on the renderGraph method.
148 lines
3.2 KiB
JavaScript
148 lines
3.2 KiB
JavaScript
export const datasets = {
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pbmc3k: {
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title: "pbmc3k",
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dataframe: {
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nObs: "2638",
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nVar: "1838",
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type: "float32",
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},
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categorical: {
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louvain: {
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"B cells": "342",
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"CD14+ Monocytes": "480",
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"CD4 T cells": "1144",
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"CD8 T cells": "316",
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"Dendritic cells": "37",
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"FCGR3A+ Monocytes": "150",
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Megakaryocytes: "15",
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"NK cells": "154",
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},
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},
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continuous: {
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n_genes: "int32",
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percent_mito: "float32",
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n_counts: "float32",
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},
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cellsets: {
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lasso: [
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{
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"coordinates-as-percent": { x1: 0.1, y1: 0.25, x2: 0.7, y2: 0.75 },
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count: "1173"
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},
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],
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categorical: [
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{
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metadata: "louvain",
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values: ["B cells", "Megakaryocytes"],
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count: "357",
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},
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],
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continuous: [
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{
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metadata: "n_genes",
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"coordinates-as-percent": { x1: 0.25, y1: 0.5, x2: 0.55, y2: 0.5 },
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count: "1537",
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},
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],
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},
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diffexp: {
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cellset1: [
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{ kind: "categorical", metadata: "louvain", values: ["B cells"] },
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],
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cellset2: [
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{
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kind: "categorical",
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metadata: "louvain",
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values: ["CD4 T cells", "NK cells"],
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},
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],
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"gene-results": [
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"HLA-DRB1",
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"HLA-DPB1",
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"CD79A",
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"HLA-DPA1",
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"HLA-DQA1",
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"CD79B",
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"HLA-DQB1",
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"MS4A1",
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"IL32",
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"CD37",
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],
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},
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genes: {
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bulkadd: ["S100A8", "FCGR3A", "LGALS2", "GSTP1"],
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search: "ACD",
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},
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subset: {
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cellset1: [
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{
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kind: "categorical",
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metadata: "louvain",
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values: ["B cells", "Megakaryocytes"],
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},
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],
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count: "357",
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categorical: {
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louvain: {
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"B cells": "342",
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"CD14+ Monocytes": "0",
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"CD4 T cells": "0",
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"CD8 T cells": "0",
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"Dendritic cells": "0",
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"FCGR3A+ Monocytes": "0",
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Megakaryocytes: "15",
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"NK cells": "0",
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},
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},
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lasso: {
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"coordinates-as-percent": { x1: 0.25, y1: 0.05, x2: 0.75, y2: 0.55 },
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count: "331",
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},
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},
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scatter: {
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genes: { x: "S100A8", y: "FCGR3A" },
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},
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pan: {
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"coordinates-as-percent": { x1: 0.75, y1: 0.75, x2: 0.35, y2: 0.35 },
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},
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features: {
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panzoom: {
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lasso: {
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"coordinates-as-percent": { x1: 0.3, y1: 0.3, x2: 0.5, y2: 0.5 },
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count: "24",
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},
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},
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},
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categoryLabel: {
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lasso: {
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"coordinates-as-percent": { x1: 0.05, y1: 0.3, x2: 0.5, y2: 0.5 },
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},
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newCount: {
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bySubsetConfig: {
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false: "599",
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true: "594",
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},
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},
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},
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annotationsFromFile: {
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count: {
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bySubsetConfig: {
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false: "1161",
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true: "852",
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},
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},
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},
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clip: {
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min: "30",
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max: "70",
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metadata: "n_genes",
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gene: "S100A8",
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"coordinates-as-percent": { x1: 0.25, y1: 0.5, x2: 0.55, y2: 0.5 },
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count: "386",
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"gene-cell-count": "416",
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},
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},
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};
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