pages/home.py

import dash
from dash import html

dash.register_page(__name__, path='/', location="sidebar")

layout = html.Div([
    html.H1('This is the home page for analyzing the corneal cell state meta atlas'),
    html.Div('Please click on the corneal meta-atlas link above and click on a tab of interest.'),
    html.Div('For an explanation of the tabs, see categories below.'),
    html.H1('First tab: UMAP visualisation'),
    html.Div('This tab contains two selectable conditions that can be used in combination for visualisation.'),
    html.Div('For example if expression of PAX6 across studies needs to be visualised, condition 1 "studies" and condition 2 "PAX6" can be selected.'),
    html.Div('For condition 1 integrated clusters, integrated cell states and studies can be selected.'),
    html.Div('For condition 2 individual genes, quality control parameters (e.g. n_genes_by_counts) and influence scores can be visualised.'), 
    html.H1('Second tab: Multigene dotplot'),
    html.Div('This tab contains visualisation of selected genes in all cell states. Multiple genes be added or removed.'),
    html.Div('For web app stability, removing only one gene at the time is recommended.'),
    html.H1('Other notes: genes and cell state names'), 
    html.Div('Note that lowly expressed genes have been filtered out, leaving ~15.000 expressed genes to analyse interactively.'),             
    html.Div('Names of cell states: LSC-1 = Limbal stem cells 1; LSC-2 = Limbal stem cells 2; LSE = Limbal suprabasal epithelium; CE = Central epithelium; Cj = Conjunctiva; qSK =Quiescent stromal keratocytes; SK = Stromal keratocytes; TSK = Transitioning stromal keratocytes; CF = Corneal fibroblasts; CEC = Corneal endothelial cells; B/L EC = Blood and lymph endothelial cells; Mel = Melanocytes; IC = Immune cells; nm-cSC = non-myelinating corneal Schwann cells; MC = Mural cells.')
])