ArticleiScience2022
A text-based computational framework for patient -specific modeling for classification of cancers.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling.Bioinformatics (Oxford, England) · 2026Article
- Dual RAF inhibition outperforms RAF-MEK combinations for suppressing ERK signaling in KRAS mutant cells.NPJ systems biology and applications · 2026Article
- Integrating dynamic modeling of signaling pathways with subject-specific transcriptomic data to assess breast cancer risk.PloS one · 2026Article
- Positive and negative feedback regulation of the TGF-β1 explains two equilibrium states in skin aging.iScience · 2024Article
- Article
- DynProfiler: a Python package for comprehensive analysis and interpretation of signaling dynamics leveraged by deep learning techniques.Bioinformatics advances · 2024Article
- Extending BioMASS to construct mathematical models from external knowledge.Bioinformatics advances · 2024Article
- Uncovering specific mechanisms across cell types in dynamical models.PLoS computational biology · 2023Article
- Systems biology of protein network.Biophysical reviews · 2022Article
- Protocol for stratification of triple-negative breast cancer patients usingSTAR protocols · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient heterogeneity precludes cancer treatment and drug development; hence, development of methods for finding prognostic markers for individual treatment is urgently required. Here, we present Pasmopy (Patient-Specific Modeling in Python), a computational framework for stratification of patients using
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.