ZAR AI Research and GeneBean are online
Live knowledge routing, deterministic computation,
AI-assisted explanation, real-time file processing,
and R-backed MARSS workflows are active.
LiveResearch City · PubMed biomedical search
LiveCompute City · deterministic scientific calculation
LiveZAR Calculator
LiveConcept City · curated scientific concepts
LiveMeaning City · WordNet dictionary lookup
LiveIssue Code City · sanity knowledge registry
LiveZAR AI v1 · approved exact-match knowledge
LiveWeb City · Weather and Wikipedia neighborhoods
LiveZAR AI · Mistral-7B synthesis core
LiveDynamic model and city routing
LiveStructured multi-stage response interface
LiveGeneBean System · gateway to R-backed pipelines
LiveMARSS File Reader · CSV, TSV, TXT, and Excel ingestion
Live
File Reader Status Console · real-time upload,
validation, and preparation progress
Live
MARSS RowNamer · identity detection and row-name resolution
Live
Expression Matrix Canonicalization · gene identifier inspection,
cleaning, conversion, sample configuration, and study-matrix creation
Live
EMC Execution Console · collapsible scientific processing reports
Live
File Reader, RowNamer, and EMC sanity reporting to ZAR AI
PlannedAdditional GeneBean and MARSS research pipelines
ZAR AI Research combines deterministic tools, curated knowledge,
live retrieval, and local AI synthesis. GeneBean connects the
interface to R-backed scientific computation, while MARSS provides
modular dataset workflows including File Reader, RowNamer, and
Expression Matrix Canonicalization. File Reader exposes real-time
upload and validation progress through its integrated Status Console,
while EMC provides collapsible scientific execution reports.
Deterministic module results are transmitted to ZAR AI through
registered sanity issue codes and resolved against structured
knowledge records.
Preparing Row Namer
Waiting for a File Reader dataset
Preview
Awaiting detection
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Expression Matrix Canonicalization
v0.1.0
Inspect and materialize properties of a committed expression matrix.
Execution report
Report available
Details
Input Dataset
Provenance
Source module:—
Dataset ID:—
Committed at:—
File Metadata
File name:—
File size:—
Format:CSV
Checksum:—
Gene identifier type:—
Structure
Rows:—
Columns:—
Sample columns:—
Gene column:—
Row identity:—
Example rownames:—
Gene symbol inspection
Validate row identifiers against a frozen offline gene symbol
authority reference (human_gene_symbols.rds).
This ensures deterministic and reproducible validation.
The active dataset is not modified; validation results
and canonicalized artifacts are materialized separately.
Study matrix configuration
Select the samples to include, identify the control group,
and optionally standardize sample names. Your original dataset will remain unchanged.