Top 40
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ML / AI methods
Deep learning maps omics and histology data onto molecular and clinical endpoints
Recent preprints and publications apply self-supervised and semi-supervised objectives to exploit unlabeled tumor and single-cell data for prediction.
Genomics
Benchmarked tools for haplotype, inversion, repeat and structural variant analysis
Recent preprints and papers report method-dependent accuracy for variant, repeat and assembly tools, motivating dataset-specific benchmarking.
ML / AI methods
Pretrained embeddings and knowledge graphs shape molecular and drug representations
Pretrained protein and chemical language model embeddings are now paired with knowledge graphs and attention for prediction.
Tools & infrastructure
Modular workflow software makes omics analysis explicit and reproducible
Reproducible omics workflows now span single-cell, spatial, and bulk data, increasingly with LLM or interactive interfaces.
ML / AI methods
Computational tools link viral sequence variation to variant classes and host adaptation
Recent SARS-CoV-2 and influenza studies pair viral sequence features with computational classification or antigenic prediction methods.