Results 231 to 240 of about 7,343,069 (347)
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
Diagnostic performance of artificial intelligence in fracture detection with ultrasound: A systematic review and meta-analysis. [PDF]
Xie M +5 more
europepmc +1 more source
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng +13 more
wiley +1 more source
Inferring gene expression profiles of tumor clones. [PDF]
Shafighi S, Jurzysta B, Szczurek E.
europepmc +1 more source
pgdcm: An R Package for Probabilistic Graphical Diagnostic Classification Modeling
Athul Sudheesh, Richard M. Golden
openalex +1 more source
Deep-Learning-Based Probabilistic Graphical Models for Automated Defect Detection in Smart Textile Manufacturing [PDF]
Guang Gao, Chuangchuang Chen
openalex +1 more source
A novel dual‐organelle proximity labeling platform, DuO‐SCOUT, decodes the complex landscape of systemic organ‐organ communication by capturing both classical and unconventional secretomes. Application in metabolic models maps the adipose‐to‐brain secretory relay, identifying selective extra‐hypothalamic sites for adipose‐derived factors and expanding ...
Fenglian Yang +7 more
wiley +1 more source
GPC: An expressive and tractable deep generative model for genetic variation data. [PDF]
Anand P +6 more
europepmc +1 more source
RIS-Aided Bayesian Indoor Positioning and Tracking via Probabilistic Graphical Models [PDF]
Leonardo Terças +3 more
openalex +1 more source
Probabilistic graphical models for the analysis of omics heterogeneity [PDF]
Khakabimamaghani, Sahand
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