https://eureka.patsnap.com/resources/blog/rd-blog/single-cell-data-batch-effect-integration-algorithm-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Genomics & Bioinformatics

Single Cell Data Batch Effect Integration Algorithm Patents

A patent landscape review of single-cell data batch effect integration algorithms: filing trends, IPC composition, leading assignees and where claim space remains open.

18
Published Records
33%
Top-5 Share of All Records
+500%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth = 2021 (1 records) → 2024 (6); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 18 records in scope (CR5), not the ranked leaders only.

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Published byPatsnap Research··5 min readSourced from Patsnap Eureka
Field Overview

What this patent landscape covers

This landscape tracks patent families where the claims combine single-cell data, batch effect or batch correction, and an integration or algorithmic method — the technical core of tools that reconcile single-cell datasets collected across instruments, labs or timepoints. The scope is narrow by design: 18 records worldwide meet this exact combination, which makes the field legible enough to read assignee by assignee rather than only in aggregate.

Because the corpus is small, a handful of filings can move the concentration figures noticeably, and any single well-drafted application can occupy a meaningful share of the claim space that exists today.

Filing activity and technology composition, 2015-2026
  1. 1THE INST OF BIOTECHNOLOGY OF THE CHINESE ACAD OF AGRI SCI2
  2. 2Nanning Guidian Electronic Technology Research Institute Co., Ltd.1
  3. 3HARBIN INST OF TECH1
  4. 4YANGZHOU UNIV1
  5. 5HANGZHOU LC BIOTECH1
  6. 6Aixinbo (Binhai) Biomedical Technology Co., Ltd.1
  7. 7HANGZHOU NORMAL UNIVERSITY1
  8. 8TSINGHUA UNIVERSITY1
  9. 9SHANGHAI PULMONARY HOSPITAL (SHANGHAI OCCUPATIONAL DISEASE PREVENTION & CONTROL INSTITUTE)1
  10. 10DR LATHA KIRAN KRISHNA RAJENDRAN1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Single Cell Data Batch Effect Integration Algorithm Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trend and technology composition

Two views of the same 18 records: how filing activity has moved year over year, and which IPC subclasses the claims sit under.

Filing trend, 2021-2026

Annual filings rose from 1 in 2021 to a peak of 6 in 2024 — a +500% increase over that three-year span. 2025 and 2026 show fewer published records, but that reflects the roughly 18-month lag between filing and publication rather than a slowdown; 2024 remains the last year that can be read as complete.

Filing trend, 2021-2026023561202120222023620246202542026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

IPC subclass composition

G16B (Bioinformatics) appears on 88.9% of the 18 records, with G06F and G06N — general data processing and AI-based computing — each on 50.0%. Classes tied to physical measurement or imaging (C12Q, G01N, G02B, G06T, G06V) each cover 11.1% or less, since a record can carry multiple classes these shares add up to more than 100%.

IPC subclass compositionG16B · Bioinformatics1688.9%G06F · Electric digital data processi…950.0%G06N · Computing based on AI models950.0%C12Q · Measuring & testing involving …211.1%G01N · Material analysis & testing211.1%G02B · Optical elements & systems15.6%G06T · Image data processing & genera…15.6%G06V · Image/video recognition15.6%Other15.6%

Shares are the percentage of the 18 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Single Cell Data Batch Effect Integration Algorithm Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Representative Filing

A representative claim in this space

Representative Patent Family
WO2025064862A12025-03-27

Modules for single-cell data conversion to transformed bulk-cell data and methods of using the same

VERILY LIFE SCIENCES LLC

Introduced here is a module for converting single-cell data sets to transformed bulk-cell datasets for use in augmenting single-cell data, identifying cell type subsets, and in assessing factors associated with diseases. Such cell type subsets include immune cell subsets.Filed by Verily Life Sciences; published as WO2025064862A1.

WO2025064862A1 — patent drawing 1WO2025064862A1 — patent drawing 2
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Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Single Cell Data Batch Effect Integration Algorithm Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Signal Check

What the numbers mean for a filing decision

Three readings of the same 18-record dataset, each pointing to a different practical question.

Concentration
33.3%
of 18 records held by top 5 assignees

No gatekeeper has locked the field

The leading assignee holds only 2 of the 18 records in scope, and the top 5 combined account for 33.3% of all records. That is a fragmented field, not one guarded by a dominant filer — there is room to file without immediately colliding with an entrenched leader.

Top 10 combined reach 61.1% of records
Growth
+500%
filings, 2021 to 2024

Activity accelerated sharply through 2024

Filings went from 1 in 2021 to 6 in 2024, a five-fold increase inside three years. That trajectory marks single-cell batch correction as a technical area that moved from occasional filing to active claim-staking within a short window.

2025-2026 counts understate true filing activity due to publication lag
Classification
88.9%
of records classed under G16B

Claims cluster tightly on bioinformatics

Nearly nine in ten records sit under G16B, with G06F and G06N each present on half the records — the claim language is overwhelmingly computational. Classes tied to optics, imaging or recognition barely register, each under 6% of records.

A record can carry multiple IPC classes, so shares exceed 100% in total
Jurisdiction
15 of 18
records filed via the China receiving office

Filing activity is concentrated in one jurisdiction

China accounts for 15 of the 18 records, with WIPO/PCT and India each contributing the remainder. A freedom-to-operate review outside China should not assume the same density of prior art applies.

WIPO (PCT) 2, India 1
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to single cell data batch effect integration algorithm patent landscape, with the prior art for and against each one.

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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from a Patsnap search on Single Cell Data Batch Effect Integration Algorithm Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next Steps

Where to take this analysis

The dataset points to specific follow-up work rather than a single conclusion.

Map the fragmented ownership in detail

With no assignee holding more than 2 of 18 records, a family-by-family review of the ranked leaders is more useful than reading the field as a two-horse race.

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Watch the 2024 peak for signal, not noise

The +500% run to 2024 is the clearest trend line in this dataset; treat 2025-2026 figures as provisional until publication catches up.

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Test claims outside the dominant IPC cluster

G01N, G02B, G06T and G06V each cover 11.1% or less of records, suggesting the computational core is well-claimed but adjacent measurement and imaging integrations are not.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Single Cell Data Batch Effect Integration Algorithm Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this patent landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Single Cell Data Batch Effect Integration Algorithm Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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