- Shaika Chowdhury
, Yongbin Chen, Xiao Ma, Qiying Dai, Yue Yu, Nansu Zong:
Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records. BCB 2023: 34:1-34:6 - Elias A Ciudad, Lori Boies, Muskaan Tayal:
Understanding the Evolutionary Conservation of the Ilp1 gene across Drosophila: Genomics Education Partnership. BCB 2023: 95:1 - Sarah Coffland, Katie Christensen, Filip Jagodzinski, Brian Hutchinson:
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. BCB 2023: 107:1-107:9 - Rei Doko, Kevin Liu:
Reconstructing Phylogenies Using Branch-Variable Substitution Models and Unaligned Biomolecular Sequences: A Performance Study and New Resampling Method. BCB 2023: 51:1-51:10 - Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He:
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. BCB 2023: 26:1-26:6 - Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan Alregib:
Clinical Trial Active Learning. BCB 2023: 6:1-6:10 - Adarsh Gadari, Sandeep Chandra Bollepalli, Mohammed Nasar Ibrahim, José-Alain Sahel, Jay Chhablani, Shan Suthaharan, Kiran Kumar Vupparaboina:
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network. BCB 2023: 52:1-52:6 - Nandini Amit Gadhia, Michalis Smyrnakis, Po-Yu Liu, Damer Blake, Melanie Hay, Anh Nguyen, Dong Xia, Ritesh Krishna, Dominic Richards:
Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data. BCB 2023: 9:1-9:6 - Ayush Garg, Shyam Sundar Das, Narayanan Ramamurthi:
AutoML in Drug Discovery: Side-Effects Prediction Using AutoGluon Framework and Its Applications in Drug Discovery. BCB 2023: 60:1 - Ayush Garg, Shyam Sundar Das, Narayanan Ramamurthi:
Drug Target Prioritization Based on Ligand Binding Pocket and Disease-Target Association Scores. BCB 2023: 71:1 - Arnav Garg, Pranav Narala, Maruthi Vemula:
Doxorubicin Efficacy Prediction for Glioblastomas Using Deep Learning and Differnetial Equations. BCB 2023: 70:1 - Léa Gazeau, Hang Nguyen:
Automatically measuring dyspigmentation severity of the skin using a convolutional neural network. BCB 2023: 59:1 - Abhay Goyal, Nimay Parekh, Lam Yin Cheung, Koustuv Saha, Frederick L. Altice, Robin O'Hanlon, Roger Ho Chun Man, Chunki Fong, Christian Poellabauer, Honoria Guarino, Pedro Mateu-Gelabert, Navin Kumar:
Predicting Opioid Use Outcomes in Minoritized Communities. BCB 2023: 86:1-86:2 - Sahand Hamzehei, Jun Bai, Gianna Raimondi, Rebecca Tripp, Linnaea Ostroff, Sheida Nabavi:
3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection. BCB 2023: 1:1-1:10 - Moein Hasani, Chantel N. Trost, Nolen Timmerman, Lingling Jin:
AcrTransAct: Pre-trained Protein Transformer Models for the Detection of Type I Anti-CRISPR Activities. BCB 2023: 22:1-22:6 - Megan Herceg, Amarda Shehu:
Structure- and Energy-based Analysis of Small Molecule Ligand Binding to Steroid Nuclear Receptors. BCB 2023: 105:1-105:9 - Shreyas U. Hirway, Xiang Yao, Fetene B. Tekle, Thomas De Marchin, Onyi Irrechukwu, Freddy Van Goethem:
Gene Regulatory Network Based Toxicity Classification and Prediction: A DILI Case Study. BCB 2023: 74:1 - Felix Jackson, Thomas Lukasiewicz:
Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder. BCB 2023: 32:1-32:6 - Hasan M. Jamil, Stephen A. Krawetz, Alexander Gow:
Leveraging Large Language Models for Automatic Hypotheses Testing over Heterogeneous Biological Databases. BCB 2023: 80:1-80:2 - Twinkle Jaswal, Epaminondas Rosa Jr., Rosangela Follmann:
Temperature Effects on Neuronal Synchronization. BCB 2023: 94:1 - Sonal Jha, Wu-chun Feng:
GRAPPEL: A Graph-based Approach for Early Risk Assessment of Acute Hypertension in Critical Care. BCB 2023: 36:1-36:6 - Xinglin Jia, An Phan, Claus Kadelka:
Concise Ranked Functional Enrichment Analysis. BCB 2023: 64:1 - Rajshree Jodha, Priyanka Mishra, J. Angel Arul Jothi, Sameer Saifi, Abhishek Purohit:
Performance Evaluation of Semantic Segmentation Models with and without Attention for White Blood Cells Segmentation. BCB 2023: 43:1-43:4 - Anowarul Kabir, Asher Moldwin, Amarda Shehu:
A Comparative Analysis of Transformer-based Protein Language Models for Remote Homology Prediction. BCB 2023: 97:1-97:9 - Reza Kalbasi, David P. Nickerson, Koray Atalag:
PhysioMed: A Semantic Web based Framework for Linking Healthcare Information with Computational Physiology Models. BCB 2023: 85:1 - Mena Soliman Asaad Kamel, Amrut Sarangi, Cindy Qin, Het Barot, Pavel Senin, Sergio Villordo, Sunaal Mathew, Albert Pla Planas, Ziv Bar-Joseph:
Deep-Learning Based Cell Segmentation and Deconvolution in Spatial Transcriptomics. BCB 2023: 68:1 - Mehmet Efruz Karabulut, K. Vijay-Shanker:
Sectioning biomedical abstracts using pointer networks. BCB 2023: 16:1-16:9 - Gangadhar Katuri, Epaminondas Rosa Jr., Rosangela Follmann:
Phase Synchronization in Brain Collective Dynamics. BCB 2023: 44:1-44:7 - Savik Kinger:
Quantifying Recombination Bias in Viral Evolution Using Persistent Homology. BCB 2023: 50:1-50:6 - Tsukasa Koga, Osamu Maruyama:
CBOEP: Generating negative enhancer-promoter interactions to train classifiers. BCB 2023: 27:1-27:6
