Data analysis + manuscript writing

Send us your data.
Get a submission-ready manuscript in 15 days.

Raw data, tables or figures in. Statistics, interpretation, medical writing, journal submission and publication support out. Use your own dataset, or build the study from 45 open and application-based registries (SEER, NTDB, TCGA, UK Biobank and more), with ML and AI where it adds value.

24 saat içinde ücretsiz fiyat teklifi alınBrowse registries
VerilerinizDataset, tables, figures
MakalelerPlan, statistics, graphs
El yazmasıFull text, journal format
YayınlananSubmission to online publication
15 gün to a full manuscriptSCI/E, PubMed, Scopus journal targetsNo credit asked, you keep authorshipSupport until published Online
Başlamak için iki yol

Your data, or registry data

Kendi verileriniz

Clinical, survey, lab or trial data you already hold.

  • Data cleaning and statistical analysis plan
  • Analysis, tables and publication-quality figures
  • Methods, results and discussion written to journal style

Registry services

No dataset yet? We build the study from a registry.

  • Research question and cohort definition
  • Variable mapping and registry analysis (SEER, NTDB/TQP and others)
  • Reporting to STROBE/RECORD standards

Tam yayın desteği

Beyond the manuscript.

  • Literature review and referencing
  • Dergi seçimi ve gönderimi
  • Reviewer-response support until publication
Registry and open-data services

45 data sources we work with, across cancer, genetics and more

Pick a registry and we scope the study: question, cohort, variables, analysis and manuscript. Access follows each source's own terms. Where an application or data-use agreement is needed, we guide you through it.

Açılış indir ve kullan   Lisanslama free account or sign-up   Application / licence approval or fee required

Kanser 8 kaynaklar
SEERUS population cancer registry, incidence and survival
AçılışPlan a study →
TCGA / GDCGenomic and clinical data across tumour types
Open + controlledPlan a study →
cBioPortalCancer genomics, mutation and outcome exploration
AçılışPlan a study →
TCIACancer imaging archive (CT, MRI, pathology)
AçılışPlan a study →
DepMap / CCLECell-line dependency and drug-response data
AçılışPlan a study →
Proje Veri KüresiHistorical cancer trial data
LisanslamaPlan a study →
ICGC ARGOInternational cancer genome programme
LisanslamaPlan a study →
NCDBHospital-based cancer database (CoC)
UygulamaPlan a study →
Genetik ve genomik 13 kaynaklar
GWAS KataloğuPublished genotype-phenotype associations
AçılışPlan a study →
gnomADPopulation variant frequencies
AçılışPlan a study →
ClinVarVariant interpretation and clinical significance
AçılışPlan a study →
dbSNPReference SNP database
AçılışPlan a study →
1000 GenomesReference human variation
AçılışPlan a study →
GTExTissue-specific gene expression
Open + controlledPlan a study →
Open TargetsTarget-disease evidence
AçılışPlan a study →
PGS CatalogPoligenik risk skorları
AçılışPlan a study →
KODLAMASIRegulatory elements and epigenomics
AçılışPlan a study →
FinnGenBiobank-scale GWAS summary statistics
Open summary statsPlan a study →
dbGaPNIH genotype and phenotype repository
KontrollüPlan a study →
İngiltere BiobankLarge cohort with genetics and imaging
UygulamaPlan a study →
HepimizUS precision-medicine cohort
Registered + controlledPlan a study →
Trauma, surgery and hospital data 5 kaynaklar
NTDB / TQPUS trauma registry, public-use files
UygulamaPlan a study →
ACS NSQIPSurgical quality and outcomes
UygulamaPlan a study →
HCUP (NIS, NRD, NEDS, KID)US hospital discharge databases
LisansPlan a study →
MIMIC-IVICU electronic health records
CredentialedPlan a study →
eYoğun bakımMulti-centre ICU database
CredentialedPlan a study →
Nüfus sağlığı 9 kaynaklar
NHANLARUS health and nutrition survey
AçılışPlan a study →
BRFSSUS behavioural risk surveillance
AçılışPlan a study →
NHISUS national health interview survey
AçılışPlan a study →
MEPSUS healthcare expenditure and use
AçılışPlan a study →
CDC WONDERUS mortality and natality queries
AçılışPlan a study →
Küresel Hastalık YüküGlobal disease burden estimates
AçılışPlan a study →
WHO GHOGlobal health indicators
AçılışPlan a study →
Sağlık ve Emeklilik ÇalışmasıAgeing cohort
LisanslamaPlan a study →
Sağlık EkleAdolescent to adult cohort
LisanslamaPlan a study →
Imaging and neurology 4 kaynaklar
MIMIC-CXRChest radiographs with reports
CredentialedPlan a study →
CheXpertChest radiograph labels
Open (terms)Plan a study →
ADNIAlzheimer's imaging and biomarker cohort
UygulamaPlan a study →
OASISBrain MRI ageing and dementia
UygulamaPlan a study →
Asia and regional sources 6 kaynaklar
NFHS (India)National family health survey
AçılışPlan a study →
ICMR registries (India)National disease registries
UygulamaPlan a study →
China Kadoorie BiobankLarge Chinese cohort
UygulamaPlan a study →
Taiwan NHIRDNational health insurance claims
UygulamaPlan a study →
Korea NHISNational health insurance cohort
UygulamaPlan a study →
Japan registries (JROAD, NCD)Cardiology and surgical registries
UygulamaPlan a study →
ML, deep learning and AI

Turn registry and patient data into prediction models, not only p-values

Klinik tahmin modelleri

Risk and outcome models with logistic regression, gradient boosting and random forests, benchmarked against a simple baseline.

Survival and time-to-event ML

Cox, random survival forests and deep survival models for cancer and trauma registries.

Genomics and imaging AI

Variant and expression modelling, and deep-learning pipelines on public imaging archives.

Text and EHR mining

NLP on clinical notes and reports to build structured study datasets.

Built to be publishable. Internal and external validation, calibration, explainability (SHAP), and reporting to TRIPOD+AI. Code and analysis are handed over so your results can be reproduced.

Plan an ML study
Why manuscripts get rejected

The data errors we find and fix before submission

Wrong test.Test does not match the data type or distribution.
Confounding.Unadjusted or poorly adjusted models.
Kayıp veri.Dropped cases with no stated handling.
Multiple testing.Many comparisons, no correction.
Number mismatches.Abstract, text and tables disagree.
Weak reporting.CONSORT/STROBE/PRISMA checklist incomplete.
Misleading figures.Axes, error bars and legends that reviewers query.
Abartılı iddia.Conclusions stronger than the data.
Have us check your data
Nasıl çalışır

Four steps, one point of contact

Gönder
Share your data, aim and target journal.
Plan
You approve the analysis plan and timeline.
Sunum
Full manuscript with tables and figures in 15 days.
Yayınlamak
Submission and revisions until online.

Etik ve uyum. Editverse follows COPE guidance. Ethics approval, consent and data governance follow ICMJE and the policies of your country and institution, and remain with you and your institution.

Sorular

Yazar kim?

You are. Editverse never asks for credit or acknowledgement.

Is my identity kept confidential?

Yes. Your identity is never disclosed to reviewers.

Which journals do you target?

SCI/E, PubMed and Scopus indexed journals across specialities, surgery included.

What if I have no data?

Use our registry services. We define the question and build the dataset from a registry.

Stop losing months to analysis and writing.

Send your dataset or your research question. You get a quote and timeline within 24 hours.

Get my free quoteYer emri