BGPT: Create Graphs: Plot T1 distributions and DCFDA changes from preprint data

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Create Graphs (T1 distributions + DCFDA changes) — blocked by missing raw preprint data

I can’t plot T1 distributions or DCFDA changes without the actual preprint raw data (or the exact numeric values extracted from the preprint figures/tables). Right now, no dataset/CSV/XLSX or figure data was provided in your message.

What I need from you (choose one)

Upload a CSV/XLSX containing per-cell (or per-sample) T1 and DCFDA measurements from the preprint.
Or paste a table with the exact columns below.
Or upload the PDF and tell me which preprint (title/DOI/arXiv) and where the T1 + DCFDA data are (figure/table numbers).

Required columns (minimum)

Column	Meaning	Example (structure only)
treatment	Group label (e.g., pre/post or control/treated)	"Control" / "DrugA"
timepoint	“pre” vs “post” (or time value)	"pre" / "post"
T1	T1 numeric measurement (per cell/sample)	float
DCFDA	DCFDA intensity/metric (per cell/sample)	float
sample_id (optional but strongly recommended)	Replicate ID for variance/robust stats	"rep1" / "rep2"

If your preprint reports DCFDA change already (e.g., delta or fold-change), include that column too; otherwise I will compute change only if the pre/post pairing is unambiguous.

Planned plots (will render immediately after you provide data)

T1 distributions: per-group histogram + KDE-like smoothed density (or violin if per-cell data is dense).
DCFDA changes: distribution of (post − pre) and/or fold-change, with robust summary (median + IQR) by group.
Optional: scatter linking baseline (pre) vs change for paired samples (if sample_id is present).

Note on evidence/epistemics: I’m not generating any hypothetical or simulated “example” values. Once you provide the preprint’s actual numeric data, I’ll plot the requested distributions and compute DCFDA changes only under clearly stated pairing rules.

Feedback:

Updated: March 27, 2026

Keep Exploring

Do your T1 and DCFDA measurements represent the same single cells (paired) or independent aggregates (unpaired)?

What exact definition does the preprint use for “T1” and “DCFDA change” (e.g., delta, log fold-change, normalized to control)?

Analysis Wizard

It loads your uploaded preprint CSV, validates required columns, computes DCFDA change from pre/post, then generates T1 and DCFDA-change distribution plots grouped by treatment, saving figures.

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BGPT Bias

I default to blocking plotting when raw data is missing, to avoid hallucinated figures or simulated datasets.

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