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Imputation · Full report · powered by Responder Atlas

Indication Full.

The paid per-compound report — a deeper application of Responder Atlas. Everything Indication Lite gives you, plus the two things a triage decision usually needs next: which subpopulations concentrate the response, and which biomarkers discriminate them.

Included

Responder subpopulations

Cell-line groups whose predicted response passes both strength and coherence cutoffs, with tissue composition, node identity, and margins visible.

Included

Candidate biomarkers

Ranked expression and mutation features that discriminate predicted responders from background — with effect size, cross-validated importance, and nominal p, plus an underpowered flag when n is thin.

Included

Ranked indication signal

The same 17-tissue signal Indication Lite returns, in server order, kept alongside the paid layers so provenance stays legible.

Included

Confidence tier and provenance

Tanimoto-neighbourhood confidence, nearest training-set drug, and basis (measured vs. imputed) surfaced on every report.

Hypothesis-generating, not validated. The Full Responder Report is a triage layer built on cell-line data — leads to test, not clinical decisions. Every report carries the confidence tier and disclaimer that governs its interpretation.

Sample excerpt

A preview of the paid report.

The excerpt below is trimmed from the committed gefitinib illustrative sample — the same rendering the live sample uses, with a subset of the responder groups and biomarker rows.

Product · Full Responder Report

gefitinib

Basis: SMILES imputedModel: v0.3

HYPOTHESIS-GENERATING, NOT VALIDATED PREDICTION

SMILES: COc1cc2ncnc(Nc3ccc(F)c(Cl)c3)c2cc1OCCCN1CCOCC1

Hypothesis

HYPOTHESIS: responder structure concentrated in 18 cell-line group(s) (148 cells), led by uterus. Candidate biomarkers below are LEADS TO TEST, not validated markers.

Ranked indications

6 indications · server-ranked

  1. 01Esophaguselevated
    Predicted viability change+44.2%

    reduces viability — predicted cell killing

    Selectivity vs. this drug's average+62%

    more responsive than this drug's own average

  2. 02Upper Aerodigestiveelevated
    Predicted viability change+32.6%

    reduces viability — predicted cell killing

    Selectivity vs. this drug's average+34%

    more responsive than this drug's own average

  3. 03Urinary Tractelevated
    Predicted viability change+30.5%

    reduces viability — predicted cell killing

    Selectivity vs. this drug's average+30%

    more responsive than this drug's own average

  4. 04Pancreaselevated
    Predicted viability change+18.7%

    reduces viability — predicted cell killing

    Selectivity vs. this drug's average+11%

    more responsive than this drug's own average

  5. 05Uteruselevated
    Predicted viability change+17.5%

    reduces viability — predicted cell killing

    Selectivity vs. this drug's average+10%

    more responsive than this drug's own average

  6. 06Ovaryelevated
    Predicted viability change+14.8%

    reduces viability — predicted cell killing

    Selectivity vs. this drug's average+6%

    more responsive than this drug's own average

Two different things. Predicted viability change is the absolute effect — whether the drug is predicted to reduce viability (kill; bar right of zero) or increase it (proliferate; bar left). Selectivity is how that indication compares to this drug's own average across all indications (bar right = more responsive). Both bars diverge around a zero line.

Excerpt · showing 6 of 17 ranked indications.

Responder subpopulations

Cell-line groups whose predicted response passes both strength and coherence cutoffs. Hypothesis-generating, not clinical.

4 groups · server-ranked

Flagged groups
18
Flagged cells
148
Nodes considered
485
Strength cutoff (log₂)
-0.2065
Coherence cutoff
0.1934
Indications covered
Bile DuctBreastLungOvaryPancreasUrinary TractUterus
  • d0_h0sr#0

    strongcoherent

    Pancreas

    13 cells · geometry d0_h0sr, node 0

    • Pancreas4
    • Urinary Tract4
    • Bile Duct1
    • Lung1
    • Upper Aerodigestive1
    • Uterus1
    • Breast1
    Score (log₂)
    -0.356
    Coherence
    0.151
    Δ vs cut
    +0.150
  • d3_h1sr#7

    strongcoherent

    Bile Duct

    5 cells · geometry d3_h1sr, node 7

    • Bile Duct1
    • Upper Aerodigestive1
    • Gastric1
    • Pancreas1
    • Ovary1
    Score (log₂)
    -0.321
    Coherence
    0.156
    Δ vs cut
    +0.115
  • d10_h1sr#218

    strongcoherent

    Urinary Tract

    11 cells · geometry d10_h1sr, node 218

    • Urinary Tract4
    • Uterus2
    • Bile Duct1
    • Pancreas1
    • Kidney1
    • Lung1
    • Liver1
    Score (log₂)
    -0.294
    Coherence
    0.190
    Δ vs cut
    +0.088
  • d3_h0sr#3

    strongcoherent

    Uterus

    21 cells · geometry d3_h0sr, node 3

    • Uterus3
    • Pancreas2
    • Upper Aerodigestive2
    • Ovary2
    • Liver2
    • Urinary Tract2
    • Bile Duct1
    • Gastric1
    • Lung1
    • Colorectal1
    • Central Nervous System1
    • Mesothelioma1
    • Esophagus1
    • Soft Tissue1
    Score (log₂)
    -0.270
    Coherence
    0.187
    Δ vs cut
    +0.063

Excerpt · showing 4 of 18 responder groups.

Candidate biomarkers — LEADS TO TEST, not validated markers

Framing from the schema: CANDIDATES TO TEST — not validated biomarkers (imputed transfer is weak)

Expression CV-AUC
0.760
Mutation CV-AUC
0.447
Cells (responders / background)
148 / 132

Expression

  1. SOS1in CART

    low expr → stronger response

    RF imp.
    0.0165
    CV imp.
    0.0145 ±0.0036
    Nominal p
    1.65e-7
    Cohen's d
    -0.548
  2. MYCLin CART

    low expr → stronger response

    RF imp.
    0.0102
    CV imp.
    0.0090 ±0.0009
    Nominal p
    6.97e-6
    Cohen's d
    -0.583
  3. TSC2

    low expr → stronger response

    RF imp.
    0.0099
    CV imp.
    0.0073 ±0.0035
    Nominal p
    0.0026
    Cohen's d
    -0.311
  4. INSR

    low expr → stronger response

    RF imp.
    0.0092
    CV imp.
    0.0068 ±0.0026
    Nominal p
    3.74e-6
    Cohen's d
    -0.592
  5. CRKL

    low expr → stronger response

    RF imp.
    0.0082
    CV imp.
    0.0061 ±0.0022
    Nominal p
    8.56e-4
    Cohen's d
    -0.357
  6. TAP2

    high expr → stronger response

    RF imp.
    0.0073
    CV imp.
    0.0070 ±0.0016
    Nominal p
    1.30e-4
    Cohen's d
    0.409

Mutation

  1. EP300in CART

    mut present → stronger response

    RF imp.
    0.0131
    CV imp.
    0.0124 ±0.0014
    Nominal p
    0.0118
    Risk diff.
    0.116
  2. KRAS

    mut present → stronger response

    RF imp.
    0.0130
    CV imp.
    0.0123 ±0.0009
    Nominal p
    1.05e-1
    Risk diff.
    0.091
  3. HLA-A

    mut absent → stronger response

    RF imp.
    0.0121
    CV imp.
    0.0114 ±0.0041
    Nominal p
    1.05e-1
    Risk diff.
    -0.061
  4. PIK3CA

    mut absent → stronger response

    RF imp.
    0.0091
    CV imp.
    0.0092 ±0.0019
    Nominal p
    3.75e-1
    Risk diff.
    -0.045
  5. TP53

    mut present → stronger response

    RF imp.
    0.0086
    CV imp.
    0.0091 ±0.0006
    Nominal p
    6.76e-1
    Risk diff.
    0.028
  6. SETD2

    mut absent → stronger response

    RF imp.
    0.0085
    CV imp.
    0.0075 ±0.0022
    Nominal p
    2.10e-1
    Risk diff.
    -0.046

Excerpt · showing 6 of 15 expression and 6 of 15 mutation candidates.

Full sample

The full illustrative sample.

See the entire gefitinib report — every ranked indication, all 18 responder groups, both biomarker channels in full, and the disclaimer in place.

See the full sample report