Selected proceedings of Machine Learning in Systems Biology: MLSB 2016

TIM3 blockade with hypomethylating therapy restores NK-cell and cytotoxic CD4+ T-cell activity in patients with AML or MDS.

Cancer immunology research·2026

RdRpCATCH: a unified resource for RNA virus discovery using viral RNA-dependent RNA polymerase profile Hidden Markov models.

NAR genomics and bioinformatics·2026

Predicting drug combination response surfaces.

npj drug discovery·2026

Single-Cell Analysis of Adaptive NK and CMV-Specific T Cell Dynamics after Allogeneic HSCT.

Blood advances·2026

Integrative machine learning and gene regulatory network analysis identifies novel genes for leafy head formation in Brassica rapa and B. oleracea.

Molecular horticulture·2026

Genus-wide Homologous Recombination of Tail Fibers Maintains Tailocin Diversity in Pectobacterium.

Genome biology and evolution·2026

TOMOC: a topology-driven multi-objective evolutionary framework for robust overlapping protein complex detection in noisy PPI networks.

BMC bioinformatics·2026

MiRQuery: a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data.

BMC bioinformatics·2026

plsMD: a plasmid reconstruction tool from short-read assemblies.

BMC bioinformatics·2026

Introducing GalaxyR: an easy-to-use R implementation of the Galaxy API.

BMC bioinformatics·2026

Machine learning-based prediction of SARS-CoV-2 bioactivity: integrating IC50 regression and activity classification using multi-task neural networks.

BMC bioinformatics·2026

Residual-stream geometry of single-cell foundation models carries incremental gene-regulatory signal across tissues.

BMC bioinformatics·2026

Integrated Virtual Screening and Molecular Electrostatic Surface Potential Descriptors for Predicting BACE1 Inhibitor Interactions in Alzheimer's Disease.

ACS omega·2026

A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk prediction.

Frontiers in medical technology·2026

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm.

Rapid communications in mass spectrometry : RCM·2026

Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots.

Genome biology·2026

A deep learning approach for predicting antimicrobial resistance in urinary tract infections.

BMC urology·2026

Web-based multi-variable computational models predicting early spontaneous resolution in children with vesicoureteral reflux.

Journal of pediatric urology·2026

Related Experiment Videos

Selected proceedings of Machine Learning in Systems Biology: MLSB 2016

Related Concept Videos

TIM3 blockade with hypomethylating therapy restores NK-cell and cytotoxic CD4+ T-cell activity in patients with AML or MDS.

RdRpCATCH: a unified resource for RNA virus discovery using viral RNA-dependent RNA polymerase profile Hidden Markov models.

Predicting drug combination response surfaces.

Single-Cell Analysis of Adaptive NK and CMV-Specific T Cell Dynamics after Allogeneic HSCT.

Integrative machine learning and gene regulatory network analysis identifies novel genes for leafy head formation in Brassica rapa and B. oleracea.

Genus-wide Homologous Recombination of Tail Fibers Maintains Tailocin Diversity in Pectobacterium.

TOMOC: a topology-driven multi-objective evolutionary framework for robust overlapping protein complex detection in noisy PPI networks.

MiRQuery: a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data.

plsMD: a plasmid reconstruction tool from short-read assemblies.

Introducing GalaxyR: an easy-to-use R implementation of the Galaxy API.

Machine learning-based prediction of SARS-CoV-2 bioactivity: integrating IC50 regression and activity classification using multi-task neural networks.

Residual-stream geometry of single-cell foundation models carries incremental gene-regulatory signal across tissues.

Integrated Virtual Screening and Molecular Electrostatic Surface Potential Descriptors for Predicting BACE1 Inhibitor Interactions in Alzheimer's Disease.

A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk prediction.

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm.

Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots.

A deep learning approach for predicting antimicrobial resistance in urinary tract infections.

Web-based multi-variable computational models predicting early spontaneous resolution in children with vesicoureteral reflux.

Related Experiment Videos

Selected proceedings of Machine Learning in Systems Biology: MLSB 2016

Related Concept Videos

Related Articles