CORE CAPABILITIES
Services
Four service lines: target and indication discovery from public data, single-cell and multi-omics, statistical modeling, and translational support.
CORE CAPABILITIES
Four service lines for four kinds of R&D questions
Our services are organized around the questions R&D teams ask, not around techniques. Many projects use more than one line: public data to shortlist targets and indications, single-cell data to confirm where the target is expressed, then statistical modeling to support the go/no-go decision.
All four share one way of working: reproducible pipelines, every number traceable to its source, and code delivered with the report.
01
Public data mining for target and indication discovery
- When:ranking candidate targets, choosing an indication, preparing target evidence before project initiation or licensing talks, finding the gene behind a non-coding GWAS signal.
- Methods and data:TCGA · ICGC · GEO · CCLE; pan-cancer expression specificity, pathways, signatures and immune infiltration; Hi-C / HiChIP 3D genomics.
- Deliverables:target/indication evidence pack, publication-grade figures, reproducible scripts.
02
Single-cell and multi-omics integration
- When:you need to know which cell population a drug acts on; bulk results are ambiguous; genome, transcriptome and proteome data need to be read together in the context of the tumor microenvironment.
- Methods and data:scRNA-seq · bulk RNA-seq · WES · ctDNA; genome, transcriptome and proteome integration with the tumor microenvironment.
- Deliverables:cell annotation and cluster atlas, sample-level results tables, QC report.
03
Statistical analysis and predictive modeling
- When:writing a statistical analysis plan; turning clinical and molecular variables into a usable risk stratification tool; reviewers asking for external validation.
- Methods:survival analysis · logistic regression · GEE · GLM/Lasso; Random Forest, SVM and other machine learning methods; cross-validation and external validation.
- Deliverables:statistical analysis plan, model code and validation, nomogram or risk stratification tool.
04
Preclinical and translational research support
- When:settling protocol and sample size before a study starts; interpreting in vivo and in vitro results; biomarker and antibody drug strategy; preparing a manuscript.
- Scope:biomarkers, clinical sample data, antibody drug strategy; design and interpretation of in vivo and in vitro studies.
- Deliverables:target assessment report, study protocol and sample size, manuscript support.
PRODUCT · EVIDENCE PACK
A fixed-scope product: the Target–Indication Evidence Pack
If your question is "which indication should this target go after?", you can start with the evidence pack: a standard format, public data only, a pilot from 3 targets, and no internal data required.
Not sure where to start?
You may have a research question but no clear idea which service fits. The free 30-minute consultation is where we map the question to a specific analysis plan and check whether the available data can answer it.