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

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

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

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