ReviewBriefings in bioinformatics2018
A review of connectivity map and computational approaches in pharmacogenomics.
Review in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 151 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
151 citing papers in PubMed.
- Integrating single-cell and bulk transcriptomic perturbation resources reveals complementary therapeutic spaces for drug repurposing.bioRxiv : the preprint server for biology · 2026Article
- Advances in high-throughput drug screening based on pharmacotranscriptomics.Journal of advanced research · 2026Review
- Integrating genetically predicted transcriptomic signatures with longitudinal real-world data enables scalable drug repurposing for Alzheimer's disease.Research square · 2026Article
- Combinatorial prediction of therapeutic perturbations using causally inspired neural networks.Nature biomedical engineering · 2026Article
- DeepICER: A deep learning framework for predicting compound-induced gene expression profiles.Acta pharmaceutica Sinica. B · 2026Article
- Computational identification of novel therapeutic candidates for Streptococcus pyogenes and influenza A coinfections through transcriptomic-based drug repositioning.BMC microbiology · 2026Article
- Defining PI3K Signaling as a Key Regulator of Molecular Heterogeneity and Inflammation in Glomerular Lupus Nephritis.Immune network · 2026Article
- Modulating metabolic signatures to mitigate cabozantinib resistance in FLT3-ITD acute myeloid leukemia cell models.Cell death discovery · 2026Article
- Multidimensional transcriptome dataset for systematic evaluation of Jakyakgamcho-tang-induced cell signatures.Scientific data · 2026Article
- Atypical protein kinase C activation drives intestinal glucose excretion in diabetes mellitus.Nature communications · 2026Article
- Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.Briefings in bioinformatics · 2026Review
- In Silico Analysis of Squamous Cell Carcinoma.Advances in experimental medicine and biology · 2026Review
- Exploring the Potential Value of Inflammatory Response-Associated Genes in Chronic Rhinosinusitis with Nasal Polyps: An Integrated Bioinformatics and Experimental Validation Analysis.Journal of inflammation research · 2026Article
- Article
- Identifying Key Pathogenic Mechanisms in Recurrent Glioblastoma Through Bioinformatics Analysis.Current medicinal chemistry · 2026Article
- Integrated multi-omics analysis indicates MARCO and ZBTB20 as candidate biomarkers in rheumatoid arthritis and tuberculosis.Frontiers in immunology · 2026Article
- Transcriptome-wide Mendelian randomization and single-cell analysis during CD4NPJ precision oncology · 2025Article
- An induced pluripotent stem cell-based chemical genetic approach for studying spinal muscular atrophy.bioRxiv : the preprint server for biology · 2025Article
- Transcriptomic Profile of Isocitrate Dehydrogenase Mutant Type of Lower-Grade Glioma Reveals Molecular Changes for Prognosis.Biomedicines · 2025Article
- Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.Scientific reports · 2025Article
91 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
Large-scale perturbation databases, such as Connectivity Map (CMap) or Library of Integrated Network-based Cellular Signatures (LINCS), provide enormous opportunities for computational pharmacogenomics and drug design. A reason for this is that in contrast to classical pharmacology focusing at one target at a time, the transcriptomics profiles provided by CMap and LINCS open the door for systems biology approaches on the pathway and network level. In this article, we provide a review of recent developments in computational pharmacogenomics with respect to CMap and LINCS and related applications.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.