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14th BCB 2023: Houston, TX, USA
- May D. Wang, Byung-Jun Yoon:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2023, Houston, TX, USA, September 3-6, 2023. ACM 2023 - Sahand Hamzehei
, Jun Bai
3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection. 1:1-1:10 - Ben Junior Tamo
Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. 2:1-2:10 - Konghao Zhao
An Ensemble Machine Learning Approach for Benchmarking and Selection of scRNA-seq Integration Methods. 3:1-3:10 - Kowshika Sarker
Augmenting nutritional metabolomics with a genome-scale metabolic model for assessment of diet intake. 4:1-4:10 - Mengzhen Li
Canonical Representation of Biological Networks Using Graph Convolution. 5:1-5:9 - Zoe Fowler
Clinical Trial Active Learning. 6:1-6:10 - Jeewon Yang
Deep learning-based survival prediction using DNA methylation-derived 3D genomic information. 7:1-7:14 - Sanjeevani Choudhery
Dual ICA to extract interacting sets of genes and conditions from transcriptomic data. 8:1-8:13 - Nandini Amit Gadhia
Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data. 9:1-9:6 - Quoc Nguyen
Generalized Matching Distance: Tumor Phylogeny Comparison Beyond the Infinite Sites Assumption. 10:1-10:9 - Rui Li
MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks. 11:1-11:10 - Zhuoping Zhou
Multi-Group Tensor Canonical Correlation Analysis. 12:1-12:10 - Sakshar Chakravarty
RAmbler: de novo genome assembly of complex repetitive regions. 13:1 - Wenqi Shi
Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. 14:1-14:10 - Eric V. Strobl
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial. 15:1-15:10 - Mehmet Efruz Karabulut
Sectioning biomedical abstracts using pointer networks. 16:1-16:9 - Advait Balaji
SeqScreen-Nano: a computational platform for streaming, in-field characterization of microbial pathogens. 17:1-17:10 - Julia Zheng
The Impact of Species Tree Estimation Error on Cophylogenetic Reconstruction. 18:1-18:10 - Chu Xin
A Comparison of Machine Learning Models with Data Augmentation Techniques for Skeleton-based Human Action Recognition. 19:1-19:6 - Lorenzo Di Rocco
A Distributed Alignment-free Pipeline for Human SNPs Genotyping. 20:1-20:8 - Arpita Saha
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data. 21:1-21:6 - Moein Hasani
AcrTransAct: Pre-trained Protein Transformer Models for the Detection of Type I Anti-CRISPR Activities. 22:1-22:6 - Brandon Edward Lukas
An Integrative Approach to Building Regulatory Potential-Weighted Gene Regulatory Networks: A Leiomyoma Case Study. 23:1-23:6 - Morteza Rahimi
Beyond Motor Symptoms: Toward a Comprehensive Grading of Parkinson's Disease Severity. 24:1-24:6 - Conrad T. Testagrose
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. 25:1-25:6 - Qizhang Feng
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. 26:1-26:6 - Tsukasa Koga
CBOEP: Generating negative enhancer-promoter interactions to train classifiers. 27:1-27:6 - Wenqi Shi
Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics. 28:1-28:6 - Ashley Nicole Babjac
CodonBERT: Using BERT for Sentiment Analysis to Better Predict Genes with Low Expression. 29:1-29:6 - Cory Kromer-Edwards
Compound RNN to predict MICs using K-Mer Fingerprints and Antibiotic SMILES. 30:1-30:5 - Jordan Li Cahoon
Continuous Stress Monitoring for Healthcare Workers: Evaluating Generalizability Across Real-World Datasets. 31:1-31:5 - Felix Jackson
Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder. 32:1-32:6 - Joel Oduro-Afriyie
Enabling the Informed Patient Paradigm with Secure and Personalized Medical Question Answering. 33:1-33:6 - Shaika Chowdhury
Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records. 34:1-34:6 - Lei Chen
Exploring Pair-Aware Triangular Attention for Biomedical Relation Extraction. 35:1-35:5 - Sonal Jha
GRAPPEL: A Graph-based Approach for Early Risk Assessment of Acute Hypertension in Critical Care. 36:1-36:6 - Lei Chen
Large-scale Dataset and Effective Model for Variant-Disease Associations Extraction. 37:1-37:6 - J. White Bear
Localized, Non-parametric Detection of RNA Structural Modification using Nanopore Basecalling. 38:1-38:8 - Micky C. Nnamdi
Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. 39:1-39:6 - Katherine A. Wuestney
Modeling Human Frailty with a Smart Home-Based Approximation of Entropy. 40:1-40:6 - Xiang Li
On de novo Bridging Paired-end RNA-seq Data. 41:1-41:5 - Leran Ma
On the Maximal Independent Sets of k-mers with the Edit Distance. 42:1-42:6 - Rajshree Jodha
Performance Evaluation of Semantic Segmentation Models with and without Attention for White Blood Cells Segmentation. 43:1-43:4 - Gangadhar Katuri
Phase Synchronization in Brain Collective Dynamics. 44:1-44:7 - Md Alamin
Phylogenetic Placement of Aligned Genomes and Metagenomes with Non-tree-like Evolutionary Histories. 45:1-45:10 - Edward L. Braun
Phylogenomics using Compression Distances: Incorporating Rate Heterogeneity and Amino Acid Properties. 46:1-46:6 - Zijia Tang
PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. 47:1-47:9 - Farhan Tanvir
Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks. 48:1-48:6 - Mengjing Liu
Proteus: Towards a Manageability-focused Home-based Health Monitoring Infrastructure. 49:1-49:6 - Savik Kinger
Quantifying Recombination Bias in Viral Evolution Using Persistent Homology. 50:1-50:6 - Rei Doko
Reconstructing Phylogenies Using Branch-Variable Substitution Models and Unaligned Biomolecular Sequences: A Performance Study and New Resampling Method. 51:1-51:10 - Adarsh Gadari
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network. 52:1-52:6 - Zifeng Wang
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. 53:1-53:11 - Wenlong Zhang
Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database. 54:1-54:10 - Brandon Philip Theodorou
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. 55:1-55:9 - Aysegul Bumin
Vulture: VULnerabilities in impuTing drUg REsistance. 56:1-56:6 - Renad Al-Ghazawi
A Model of Cell Population Dynamics in Skeletal Muscle Regeneration. 57:1 - Kwan-Ling Wu
Automated Focus Restoration for High-throughput Phase Contrast Time-lapse Microscopy with De-noising Diffusion Probabilistic Model. 58:1 - Léa Gazeau
Automatically measuring dyspigmentation severity of the skin using a convolutional neural network. 59:1 - Ayush Garg
AutoML in Drug Discovery: Side-Effects Prediction Using AutoGluon Framework and Its Applications in Drug Discovery. 60:1 - Liang Xue
Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics. 61:1 - Salvador Eugenio C. Caoili
Capturing Solvent-System Effects in B-Cell Epitope Prediction with the HAPTIC3/HEPTAD2 User Toolkit (HUT2). 62:1 - Kevin Kaizhe Yang
Computational Methods to Determine Genetic Factors in Nicotine Dependency. 63:1 - Xinglin Jia
Concise Ranked Functional Enrichment Analysis. 64:1 - Bingjun Li
Contrastive Learning in Single-cell Multiomics Clustering. 65:1 - Alexis L. Marsh
CORE: Comparable, Open, Reliable, Extensible Software: An Experience Report of Four Flux Balance Analysis Tools. 66:1 - Yang Chen
Deciphering the contribution of 3D interactions between cis-regulatory elements and promoters to regulate gene expression using graph neural networks. 67:1 - Mena Soliman Asaad Kamel
Deep-Learning Based Cell Segmentation and Deconvolution in Spatial Transcriptomics. 68:1 - Selina Zhang
Designing Helicobacter pylori as an Anticancer Bacterial Vector. 69:1 - Arnav Garg
Doxorubicin Efficacy Prediction for Glioblastomas Using Deep Learning and Differnetial Equations. 70:1 - Ayush Garg
Drug Target Prioritization Based on Ligand Binding Pocket and Disease-Target Association Scores. 71:1 - Alif Bin Abdul Qayyum
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser. 72:1 - Omer Anjum
FinFax: Fast Interpretation of Fax with NLP. 73:1-73:2 - Shreyas U. Hirway
Gene Regulatory Network Based Toxicity Classification and Prediction: A DILI Case Study. 74:1 - Deepro Pasha
Genetic Site-Aware Three-Dimensional Layout Algorithm for Variation Graphs. 75:1 - Noam Auslander
Identification of generalizable gene expression biomarkers associated with drug Respose in cell Lines and patients. 76:1 - Ahyoung Choi
Identification of therapeutic targets for muscle atrophy via analyzing transcriptomic profiles with systems biology approaches. 77:1 - Niranjan Sahi
Interoperable Healthcare with Blockchain: A Data Transfer Model. 78:1 - Pritish Ranjan
Investigation of Drug Repurposing Opportunities Using Side-effects data, Topic Modelling and Clustering Algorithms. 79:1 - Hasan M. Jamil
Leveraging Large Language Models for Automatic Hypotheses Testing over Heterogeneous Biological Databases. 80:1-80:2 - Naga Sai Kavya Vaddadi
Minimizing Reference Bias: The Impute-First Approach for Personalized Genome Analysis. 81:1 - Ju-Yeh Yang
Multimodality-aware Intra-dialytic Hypotension Classifier: A Bilingual NLP Approach to Classify Dialysis Records. 82:1 - Alon Rashelbach
Nucleotide String Indexing using Range Matching. 83:1-83:2 - Xin Cao
Numerically stable algorithm for Inverse Kinematics of 6R problem and its applications to macrocycles. 84:1 - Reza Kalbasi
PhysioMed: A Semantic Web based Framework for Linking Healthcare Information with Computational Physiology Models. 85:1 - Abhay Goyal
Predicting Opioid Use Outcomes in Minoritized Communities. 86:1-86:2 - Nguyen-Kieu Viet-Nhi
Predicting Tumor Mutational Burden and Survival in Head and Neck Squamous Cancer Patients Using Machine Learning and Bioinformatics Approaches. 87:1 - Tianshu Xu
ProMVR-Interactive Protein Educational Tool. 88:1 - Mridula Shan
Real-Time Monitoring of Health Security Attacks with R-based Data Visualization Dashboard. 89:1 - Arun Nampally
Reference-Free Imputation of Targeted Next-Generation Sequence Datasets. 90:1 - Shikha Tripathi
Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets. 91:1 - Anthony James Maxin
Smartphone-based Pupillometry for Diagnosis of Ischemic and Hemorrhagic Stroke. 92:1 - Mukkamala Venkata Sai Prakash
Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. 93:1 - Twinkle Jaswal
Temperature Effects on Neuronal Synchronization. 94:1 - Elias A Ciudad
Understanding the Evolutionary Conservation of the Ilp1 gene across Drosophila: Genomics Education Partnership. 95:1 - Jonathan W. Stubblefield
Using Large Language Models to Translate Machine Results to Human Results. 96:1 - Anowarul Kabir
A Comparative Analysis of Transformer-based Protein Language Models for Remote Homology Prediction. 97:1-97:9 - Usman L. Abbas
Assessing Fairness of AlphaFold2 Prediction of Protein 3D Structures. 98:1-98:10 - Changrui Li
Identifying Impactful Pairs of Insertion Mutations in Proteins. 99:1-99:8 - Dikshant Sagar
Physics-Guided Deep Generative Model For New Ligand Discovery. 1-9 - Cory Kromer-Edwards
Optimizing K-Mer Fingerprint Generation for Machine Learning. 101:1-101:5 - Thu Nguyen
An Approach to Developing Benchmark Datasets for Protein Secondary Structure Segmentation from Cryo-EM Density Maps. 102:1-102:8 - Felix Quintana
Leveraging Large Language Models for Predicting Microbial Virulence from Protein Structure and Sequence. 103:1-103:6 - Justin Z. Tam
A Containerization Framework for Bioinformatics Software to Advance Scalability, Portability, and Maintainability. 104:1-104:5 - Megan Herceg
Structure- and Energy-based Analysis of Small Molecule Ligand Binding to Steroid Nuclear Receptors. 105:1-105:9 - Nguyen-Quoc-Khanh Le
A Sequence-Based Prediction Model of Vesicular Transport Proteins Using Ensemble Deep Learning. 106:1-106:6 - Sarah Coffland
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. 107:1-107:9 - Maytha Alshammari
AlphaFold2 Model Refinement Using Structure Decoys. 108:1-108:7
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