Verified-citation surveys of the state of the art across the research directions BioMate works in. Each maps the full method landscape, gives an honest read on what is actually winning, and — in a companion article — shows exactly where BioMate fits.
Every load-bearing claim traces to a primary source (DOI / PMID / arXiv), verified this cycle. Vendor claims, contested results, and unverified items are flagged in-line — and no DOIs are fabricated.
A comprehensive, verified-citation overview of every major approach to finding drug targets — human genetics & functional genomics, omics & network biology, and AI/knowledge-graph platforms — with an honest read on what is actually winning.
A comprehensive, verified-citation overview of how patients are sorted into treatment-relevant subgroups — molecular subtypes, multi-omics clustering, single-cell/spatial, biomarkers & PRS, and ML/causal/adaptive-trial methods.
A state-of-the-art survey of methods that jointly analyze mRNA, methylation, protein, single-cell and spatial data — factor models, network fusion, matrix factorization, deep learning, and the benchmarks that show there is no universal winner.
A verified-citation survey of computational models that predict cellular state and perturbation response — single-cell foundation models, perturbation predictors, the AI-Virtual-Cell vision, whole-cell mechanistic models, and the honest benchmarks correcting the hype.
A verified-citation survey of methods that go beyond a single static structure — molecular dynamics, generative ensemble models, cryo-EM heterogeneity, and integrative multi-state modeling of disordered proteins.
These surveys accompany BioMate's publications and benchmarks. For how BioMate applies each area, see the linked showcase articles or the newsroom.