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10 papers · ranked by Valyu relevance

01
PPubMed7 Sep 2026
Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data
Xiaoyue Hu, Yuhao Ma, Ruixing Ming, Heping Zhang + 1 more
Identifying essential biomarkers remains a core challenge in elucidating the pathogenic mechanisms and achieving precise diagnosis of complex diseases. Deep neural networks offer immense predictive power, yet their lack of interpretability severely limits downstream biological insight. Here, we introduce DeepVaris, an…
64relevance
02
BbioRxiv8 Sep 2026
scFLAME: a unified generative model for interpretable clustering, hierarchical structure discovery and marker-gene identification in single-cell RNA-seq data
Jackie Rao, Muntadher Jihad, Giulia Biffi, Paul D.W. Kirk
Identifying cell types from single-cell RNA sequencing (scRNA-seq) data typically requires several separate and often uninterpretable steps: dimensionality reduction, batch-correction, clustering, marker-gene identification and the discovery of finer-grained structure. Here we introduce scFLAME (single-cell Factor…
62relevance
03
BbioRxiv9 Sep 2026
Scaling Quantum Optimisation Beyond Hardware Limits for Real-World Scientific Workloads: Genome Assembly on Current Quantum Hardware
Namasi G Sankar, Georgios Miliotis, Simon Caton
Genome assembly is important in infectious disease surveillance, antimicrobial resistance monitoring, and cancer genomics. The task of reconstructing full genomic sequences from fragmented reads, can be framed as a large scale combinatorial optimisation problem. Recent advances in quantum computing have introduced new…
62relevance
04
BbioRxiv7 Sep 2026
RFOptimization: Guiding Design Optimization with All-Atom Structure Prediction
Odin Zhang, Jiaqi Wang, Tuscan Rock Thompson, Ziyi You + 3 more
Biomolecular interactions, including protein–protein interactions, protein–nucleic acid recognition, and protein–small molecule binding, underlie a wide range of biological processes and therapeutic mechanisms. Although recent de novo design methods can generate candidate binders for diverse molecular targets…
61relevance
05
PPubMed8 Sep 2026
A simplified and highly efficient cell-free protein synthesis system for prokaryotes
Xianshengjie Lang, Changbin Zhang, Jingxuan Lin, Zhe Zhang + 3 more
Cell-free protein synthesis (CFPS) systems are a powerful platform with immense potential in fundamental research, biotechnology, and synthetic biology. Conventional prokaryotic CFPS systems, particularly those derived from Escherichia coli, often rely on complex reaction buffers containing up to 35 components…
61relevance
06
PPubMed9 Dec 2026
Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm Yao et al. 10.3389/fbioe.2025.1704300
Junjie Yao, Zhongxu Li, Cuiping Wang, Junyu Wu + 3 more
A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot designed for stroke-related balance disorders. The robot features a serial-parallel hybrid structure and humanoid gait…
56relevance
07
BbioRxiv9 Sep 2026
Local optimization of oxygen transport gives rise to Kleiber’s law
Peter F. Pelz, Tobias Meck
For nearly a century, the physical origin of metabolic scaling has remained unresolved: metabolism is proportional to body mass in small organisms but follows Kleiber’s three-quarter-power law in larger animals. We derive both regimes from the Metabolic Holon (MH), a locally optimized capillary–tissue oxygen-supply…
56relevance
08
PPubMed15 Oct 2026
Moving percentage of failed delta checks: a novel patient-based quality control model
Niyazi Samet Yilmaz, Bayram Sen, Sena Turkmen, Hikmet Can Çubukçu + 1 more
Title: Graphical abstract
54relevance
09
PPubMed6 Sep 2026
A model predictive control-based energy management strategy for grid-connected nanogrids
Mohamed Selmy, A. Abdulnabi, A. A. Ali, E. M. Saied + 1 more
Nanogrids have emerged as a crucial solution for contemporary residential power systems, providing a robust framework for integrating distributed energy resources (DERs), comprising solar photovoltaics (PVs), wind turbines (WTs), energy storage systems (ESSs), and diesel generators (DGs). However, the uncertainty of…
52relevance
10
BbioRxiv6 Sep 2026
HyperSketch: *de Bruijn* graph sketching for genomic similarity estimation with Hyperdimensional Computing
Fabio Cumbo, Kabir Dhillon, M. Hassan Najafi, Sercan Aygun + 1 more
The exponential growth of genomic databases necessitates alignment-free methods for comparing genomes. While MinHash-based tools have revolutionized this field by efficiently estimating the Average Nucleotide Identity based on k-mer sets, they inherently discard structural genomic information. We introduce HyperSketch…
51relevance

Results for batch optimization

Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data

scFLAME: a unified generative model for interpretable clustering, hierarchical structure discovery and marker-gene identification in single-cell RNA-seq data

Scaling Quantum Optimisation Beyond Hardware Limits for Real-World Scientific Workloads: Genome Assembly on Current Quantum Hardware

RFOptimization: Guiding Design Optimization with All-Atom Structure Prediction

A simplified and highly efficient cell-free protein synthesis system for prokaryotes

Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm Yao et al. 10.3389/fbioe.2025.1704300

Local optimization of oxygen transport gives rise to Kleiber’s law

Moving percentage of failed delta checks: a novel patient-based quality control model

A model predictive control-based energy management strategy for grid-connected nanogrids

HyperSketch: de Bruijn graph sketching for genomic similarity estimation with Hyperdimensional Computing

Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data

scFLAME: a unified generative model for interpretable clustering, hierarchical structure discovery and marker-gene identification in single-cell RNA-seq data

Scaling Quantum Optimisation Beyond Hardware Limits for Real-World Scientific Workloads: Genome Assembly on Current Quantum Hardware

RFOptimization: Guiding Design Optimization with All-Atom Structure Prediction

A simplified and highly efficient cell-free protein synthesis system for prokaryotes

Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm Yao et al. 10.3389/fbioe.2025.1704300

Local optimization of oxygen transport gives rise to Kleiber’s law

Moving percentage of failed delta checks: a novel patient-based quality control model

A model predictive control-based energy management strategy for grid-connected nanogrids

HyperSketch: de Bruijn graph sketching for genomic similarity estimation with Hyperdimensional Computing

Results for batch optimization

Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data

scFLAME: a unified generative model for interpretable clustering, hierarchical structure discovery and marker-gene identification in single-cell RNA-seq data

Scaling Quantum Optimisation Beyond Hardware Limits for Real-World Scientific Workloads: Genome Assembly on Current Quantum Hardware

RFOptimization: Guiding Design Optimization with All-Atom Structure Prediction

A simplified and highly efficient cell-free protein synthesis system for prokaryotes

Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm Yao et al. 10.3389/fbioe.2025.1704300

Local optimization of oxygen transport gives rise to Kleiber’s law

Moving percentage of failed delta checks: a novel patient-based quality control model

A model predictive control-based energy management strategy for grid-connected nanogrids

HyperSketch: *de Bruijn* graph sketching for genomic similarity estimation with Hyperdimensional Computing

Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data

scFLAME: a unified generative model for interpretable clustering, hierarchical structure discovery and marker-gene identification in single-cell RNA-seq data

Scaling Quantum Optimisation Beyond Hardware Limits for Real-World Scientific Workloads: Genome Assembly on Current Quantum Hardware

RFOptimization: Guiding Design Optimization with All-Atom Structure Prediction

A simplified and highly efficient cell-free protein synthesis system for prokaryotes

Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm Yao et al. 10.3389/fbioe.2025.1704300

Local optimization of oxygen transport gives rise to Kleiber’s law

Moving percentage of failed delta checks: a novel patient-based quality control model

A model predictive control-based energy management strategy for grid-connected nanogrids

HyperSketch: *de Bruijn* graph sketching for genomic similarity estimation with Hyperdimensional Computing

HyperSketch: de Bruijn graph sketching for genomic similarity estimation with Hyperdimensional Computing

HyperSketch: de Bruijn graph sketching for genomic similarity estimation with Hyperdimensional Computing