...are now routine through probe-based detection and phenotypic enrichment, using combinatorial indexing for expanded throughput.
...are now routine through probe-based detection and phenotypic enrichment, using combinatorial indexing for expanded throughput.
Maxwell's Demon crit. pt., orders cancer genome dynamics for global coherence & irreversible fate.
Maxwell's Demon crit. pt., orders cancer genome dynamics for global coherence & irreversible fate.
...learns struct. priors from folding feedback & expert sequences, enabling user-ctrl tradeoffs for enhanced mRNA design.
...learns struct. priors from folding feedback & expert sequences, enabling user-ctrl tradeoffs for enhanced mRNA design.
integrating GNN, descriptors, & annotations to identify berberrubine & PE859, inhibiting aggregation in cells and C. elegans.
integrating GNN, descriptors, & annotations to identify berberrubine & PE859, inhibiting aggregation in cells and C. elegans.
Uses 5 feats (evo conserv, funct site prox) to interpret Rv0678 var impact & guide clin mgmt.
Uses 5 feats (evo conserv, funct site prox) to interpret Rv0678 var impact & guide clin mgmt.
Accessible, cost-effective, label-free tech found novel TME remodeling macrophage pop in CCS skin tumors.
Accessible, cost-effective, label-free tech found novel TME remodeling macrophage pop in CCS skin tumors.
...shows distinct evo paths for ICamp & ecDNA amplifications: ICamp has subclonal spec.; ecDNA has variable, rearrangement-driven, tissue-spec. evolution.
...shows distinct evo paths for ICamp & ecDNA amplifications: ICamp has subclonal spec.; ecDNA has variable, rearrangement-driven, tissue-spec. evolution.
Annotated corpus of literature cell phenotypes links them to Cell Ontology, revealing naming patterns and enabling ontology expansion.
Annotated corpus of literature cell phenotypes links them to Cell Ontology, revealing naming patterns and enabling ontology expansion.
automates targeted DIA peptide ID & interactive data expl. via zero-shot LLM reason chromatograms.
automates targeted DIA peptide ID & interactive data expl. via zero-shot LLM reason chromatograms.
HSPC atlas to define age programs. An ML aging clock predicts age; AML dev. links to gen. risk & survival.
HSPC atlas to define age programs. An ML aging clock predicts age; AML dev. links to gen. risk & survival.
by computationally predicting their toxicity and off-targets using machine learning models trained on various siRNA sequence features.
by computationally predicting their toxicity and off-targets using machine learning models trained on various siRNA sequence features.
...by forecasting gene exp profiles from pseudotime-ordered sc states to charact. tumor prog. in indiv. pts.
...by forecasting gene exp profiles from pseudotime-ordered sc states to charact. tumor prog. in indiv. pts.
cloudbased untargeted end-to-end pipeline using deep learning & DecoID2 for FDR-controlled probabilistic metabolite ID.
cloudbased untargeted end-to-end pipeline using deep learning & DecoID2 for FDR-controlled probabilistic metabolite ID.
developing a web platform using NNs and large-scale data to optimize amiRNA sequence-structure-processing for precise, specific gene silencing.
developing a web platform using NNs and large-scale data to optimize amiRNA sequence-structure-processing for precise, specific gene silencing.
...by learning sparse functional residue activations via MSA-based data augmentation for robust EC prediction and interpretable annotations.
...by learning sparse functional residue activations via MSA-based data augmentation for robust EC prediction and interpretable annotations.
...via simple linear models on norm. scRNA-seq to capture cell ID across diverse/novel tasks, challenging complex deep learning.
...via simple linear models on norm. scRNA-seq to capture cell ID across diverse/novel tasks, challenging complex deep learning.
...integrates contextual information and biological prior knowledge to build residue-level interaction maps.
...integrates contextual information and biological prior knowledge to build residue-level interaction maps.
..., achieved via a pre-trained gen model that reconstructs genome-wide expression from sparse spatial data, enabling univ zero-shot analysis.
..., achieved via a pre-trained gen model that reconstructs genome-wide expression from sparse spatial data, enabling univ zero-shot analysis.
employs EM with adaptive first-order gradients, approximating curvature for efficient biobank-scale genetic clustering.
employs EM with adaptive first-order gradients, approximating curvature for efficient biobank-scale genetic clustering.
...analyzes nanopore seq data w/ all-ratio algorithm for automated pathogen ID & AMR gene pred. frm FASTQ uploads.
...analyzes nanopore seq data w/ all-ratio algorithm for automated pathogen ID & AMR gene pred. frm FASTQ uploads.
learned via flow-based gen. framework integrating seq. homology, physchem. & struct. features predict immune escape.
learned via flow-based gen. framework integrating seq. homology, physchem. & struct. features predict immune escape.
...by creating contextual embeddings from ARGs for population genetic analysis, enabling unsupervised ancestry inference & archaic introgression detection.
...by creating contextual embeddings from ARGs for population genetic analysis, enabling unsupervised ancestry inference & archaic introgression detection.
...reveals pipeline variability and morph/modality dep., offering practical guidance for robust, reproducible organelle imaging workflows.
...reveals pipeline variability and morph/modality dep., offering practical guidance for robust, reproducible organelle imaging workflows.
...by incorporating predictable HCDR3 conformational "blueprints" and non-canonical disulphide bonds as explicit modeling constraints.
...by incorporating predictable HCDR3 conformational "blueprints" and non-canonical disulphide bonds as explicit modeling constraints.