Lymphatic-localized Treg-mregDC crosstalk limits antigen trafficking and restrains anti-tumor

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning

SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction

ConTIG: Continuous representation learning on temporal interaction graphs

FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning

Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction

cgMSI: pathogen detection within species from nanopore metagenomic sequencing data

SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor

Dear-DIAXMBD: Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer

Opioid-induced fragile-like regulatory T cells contribute to withdrawal

Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data

Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction

Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction

Multi-omics signature for identification of RAS wild-type colorectal cancer liver metastases sensitive to anti-EGFR therapy

Fedave: Adaptive Data Value Evaluation Framework for Collaborative Fairness in Federated Learning

H2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis

A downsampling method enables robust clustering and integration of single-cell transcriptome data

Deepfakes: A new threat to image fabrication in scientific publications?

Application of individualized differential expression analysis in human cancer proteome

Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification

Deep representation features from DreamDIA(XMBD) improve the analysis of data-independent acquisition proteomics

Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry

Snipe: highly sensitive pathogen detection from metagenomic sequencing data

Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation

Genetic Determinants of Somatic Selection of Mutational Processes in 3,566 Human Cancers

Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets

Comparison of high-throughput single-cell RNA sequencing data processing pipelines

Ratio of the interferon-gamma signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma

Diamond: a multi-modal DIA mass spectrometry data processing pipeline

Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images

Federated Learning with Fair Averaging

ScSparkXMBD: High-Performance scRNA-seq Data Processing with Spark

A machine learning framework to determine geolocations from metagenomic profiling

Specific TP53 subtype as biomarker for immune checkpoint inhibitors in lung adenocarcinoma

ScaleQC: a scalable lossy to lossless solution for NGS data compression

Performance evaluation of lossy quality compression algorithms for RNA-seq data

A novel approach combined transfer learning and deep learning to predict TMB from histology image

UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for Salmonella enterica

Performance Evaluation of IMP: A Rapid Secondary Analysis Pipeline for NGS Data

Improving Coding Efficiency of MPEG-G Standard Using Context-Based Arithmetic Coding

Predicting ICU mortality from heterogeneous clinical events with prior medical knowledge