Latest

• Escaping the drug-bias trap: using debiasing design to improve interpretability and generalization of drug-target interaction prediction
• RareBench: Can LLMs Serve as Rare Diseases Specialists?
• DeepMicroClass sorts metagenomic contigs into prokaryotes, eukaryotes and viruses
• DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
• Characteristics and Admission Preferences of Pediatric Emergency Patients and Their Waiting Time Prediction Using Electronic Medical Record Data: Retrospective Comparative Analysis
• The facilitating role of phycospheric heterotrophic bacteria in cyanobacterial phosphonate availability and Microcystis bloom maintenance
• Association of short-term exposure to ambient fine particle matter with hospital admission risks and costs in China, a case-crossover study
• DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
• Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS)
• DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
• Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames
• Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction
• BSODA: a bipartite scalable framework for online disease diagnosis
• Determine independent gut microbiota-diseases association by eliminating the effects of human lifestyle factors
• FOXM1 Promotes Malignant Proliferation of Esophageal Squamous Cell Carcinoma Through Transcriptional Activating CDC6
• Microbiome analysis reveals universal diagnostic biomarkers for colorectal cancer across populations and technologies
• Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning
• StackVAE-G: An efficient and interpretable model for time series anomaly detection
• VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators
• Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images
• A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
• An Adversarial Collaborative-Learning Approach for Corneal Scar Segmentation with Ocular Anterior Segment Photography
• Automatic emergency diagnosis with knowledge-based tree decoding
• Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients
• Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
• Explainable dynamic multimodal variational autoencoder for the prediction of patients with suspected central precocious puberty
• kldm: Inferring multiple metagenomic association networks based on the variation of environmental factors
• Off-Policy Training for Truncated TD ($łambda$) Boosted Soft Actor-Critic
• Qualitative diagnostic signature for pancreatic ductal adenocarcinoma based on the within-sample relative expression orderings
• Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization
• redPATH: reconstructing the pseudo development time of cell lineages in single-cell RNA-seq data and applications in cancer
• TiKick: towards playing multi-agent football full games from single-agent demonstrations
• Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study
• Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities
• Anterior segment eye lesion segmentation with advanced fusion strategies and auxiliary tasks
• Attention u-net for interpretable classification on chest x-ray image
• Joint Medical Ontology Representation Learning for Healthcare Predictions
• Kiseg: A three-stage segmentation framework for multi-level acceleration of chest ct scans from covid-19 patients
• scAIDE: clustering of large-scale single-cell RNA-seq data reveals putative and rare cell types
• Svqn: Sequential variational soft q-learning networks
• Automatic Diagnosis with 12-Lead ECG Signals
• Bone age assessment by deep convolutional neural networks combined with clinical TW3-RUS
• Combo-action: Training agent for fps game with auxiliary tasks
• Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection
• Dcmn: Double core memory network for patient outcome prediction with multimodal data
• DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data
• Deeptriager: A neural attention model for emergency triage with electronic health records
• How Robust is Your Automatic Diagnosis Model?
• Seasonal succession and spatial distribution of bacterial community structure in a eutrophic freshwater Lake, Lake Taihu
• Approximation Algorithms for the Selection of Robust Tag SNPs
• Dropout training for SVMs with data augmentation
• GePMI: A statistical model for personal intestinal microbiome identification
• Identifying group-specific sequences for microbial communities using long k-mer sequence signatures
• Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning
• Ontology-based venous thromboembolism risk factors mining and model developing from medical records
• Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding
• COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge
• DACE: a scalable DP-means algorithm for clustering extremely large sequence data
• Genome and epigenome of a novel marine Thaumarchaeota strain suggest viral infection, phosphorothioation DNA modification and multiple restriction systems
• Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes
• Large-scale 16S gene assembly using metagenomics shotgun sequences
• Leveraging multiple genomic data to prioritize disease-causing indels from exome sequencing data
• Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding
• Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
• Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks
• DeepEnhancer: predicting enhancers by convolutional neural networks
• Effect of k-tuple length on sample-comparison with high-throughput sequencing data
• Global inference of disease-causing single nucleotide variants from exome sequencing data
• mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery
• Reading the underlying information from massive metagenomic sequencing data
• WALT: fast and accurate read mapping for bisulfite sequencing
• Whole genome sequencing and its applications in medical genetics
• Global optimization-based inference of chemogenomic features from drug--target interactions
• Network-based method to infer the contributions of proteins to the etiology of drug side effects
• Prioritization of nonsynonymous single nucleotide variants for exome sequencing studies via integrative learning on multiple genomic data
• Subgingival microbiome in patients with healthy and ailing dental implants
• Comparison of metatranscriptomic samples based on k-tuple frequencies
• Constructing a Boolean implication network to study the interactions between environmental factors and OTUs
• Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks
• Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach
• Exploring functional variant discovery in non-coding regions with SInBaD
• FadE: whole genome methylation analysis for multiple sequencing platforms
• PyroHMMsnp: an SNP caller for Ion Torrent and 454 sequencing data
• PyroHMMvar: a sensitive and accurate method to call short indels and SNPs for Ion Torrent and 454 data
• Computational methods for the analysis of tag sequences in metagenomics studies
• Enabling data and compute intensive workflows in bioinformatics
• Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome
• Modeling RNA degradation for RNA-Seq with applications
• OTU analysis using metagenomic shotgun sequencing data
• Accurate genome relative abundance estimation based on shotgun metagenomic reads
• Clustering 16S rRNA for OTU prediction: a method of unsupervised Bayesian clustering
• ComB: SNP calling and mapping analysis for color and nucleotide space platforms
• MSPEP: A spectral alignment algorithm for the detection of post translational modifications
• An Integer programming approach for the selection of tag SNPs using multi-allelic LD
• Bayesian models and Gibbs sampling strategies for local graph alignment and motif identification in stochastic biological networks
• PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds
• Genomic androgen receptor-occupied regions with different functions, defined by histone acetylation, coregulators and transcriptional capacity
• PhosphoScan: a probability-based method for phosphorylation site prediction using MS2/MS3 pair information
• Prioritizing functional modules mediating genetic perturbations and their phenotypic effects: a global strategy
• Counting clusters using R-NN curves
• Ensemble feature selection: consistent descriptor subsets for multiple QSAR models
• MSNovo: a dynamic programming algorithm for de novo peptide sequencing via tandem mass spectrometry
• Sequence-based prioritization of nonsynonymous single-nucleotide polymorphisms for the study of disease mutations
• Single nucleotide polymorphism data analysis-state-of-the-art review on this emerging field from a signal processing viewpoint
• Speeding up tandem mass spectrometry database search: metric embeddings and fast near neighbor search
• An integrated approach to the prediction of domain-domain interactions
• An integrative approach for causal gene identification and gene regulatory pathway inference
• Diffusion kernel-based logistic regression models for protein function prediction
• Further understanding human disease genes by comparing with housekeeping genes and other genes
• Local lazy regression: making use of the neighborhood to improve QSAR predictions
• Network motif identification in stochastic networks
• PepHMM: a hidden Markov model based scoring function for mass spectrometry database search
• R-NN curves: an intuitive approach to outlier detection using a distance based method
• Scalable partitioning and exploration of chemical spaces using geometric hashing
• Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
• An approximation algorithm for haplotype inference by maximum parsimony
• Assessment of the reliability of protein-protein interactions using protein localization and gene expression data
• CH 12 Application of Proteomics in Basic Biological Sciences and Cancer
• Data integration for the study of protein interactions
• HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms
• Inference of missing SNPs and information quantity measurements for haplotype blocks
• Algorithms for de novo peptide sequencing using tandem mass spectrometry
• Approximation algorithms for the selection of robust tag SNPs
• Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies
• Mapping gene ontology to proteins based on protein--protein interaction data
• A suboptimal algorithm for de novo peptide sequencing via tandem mass spectrometry
• A suffix tree approach to the interpretation of tandem mass spectra: applications to peptides of non-specific digestion and post-translational modifications
• Haplotype block partition with limited resources and applications to human chromosome 21 haplotype data
• A dynamic programming algorithm for haplotype block partitioning
• Inferring domain-domain interactions from protein-protein interactions
• Prediction of protein function using protein-protein interaction data
• A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry
• Algorithms for identifying protein cross-links via tandem mass spectrometry
• Gene-finding via tandem mass spectrometry
• A case study in genome-level fragment assembly
• Identifying gene regulatory networks from experimental data
• Modeling gene expression with differential equations
• On the informational asymmetry between upper and lower bounds for ultrametric evolutionary trees
• Trie-based data structures for fragment assembly
• Trie-based data structures for sequence assembly
• Sorting with fixed-length reversals