First-pass extracted concept

network-based transcriptomic analysis

Candidate: concept label1 source documents3 linked claims

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Evidence Snippets

This mini-review emphasizes the shift from single-gene analyses to a systems biology approach, where genes and pathways are studied within networks to capture their interactions and better understand biological systems.

Evidence 1Source 1DOI PubMedprovenance

Supporting Sources

Source 1primary paper2025MEDDOI PubMed

1 evidence snippet 3 linked claims Claim 1 Claim 2 Claim 3

Linked Claims

Claim 1analysis paradigm shiftsupports2025Source 1DOI PubMed

The review supports a shift from single-gene analyses to systems biology approaches that study genes and pathways within networks.

Claim 2best practicesupports2025Source 1DOI PubMed

High-quality well-annotated datasets, transparent reporting, and careful interpretation are important for transcriptomic data generation and integration.

Claim 3future outlooksupports2025Source 1DOI PubMed

Expanding expression datasets for non-model species combined with rigorous data processing and interpretation will enable broader integration of network-based strategies in reproductive biology and conservation research.