- Cory Kromer-Edwards
:
Optimizing K-Mer Fingerprint Generation for Machine Learning. BCB 2023: 101:1-101:5 - Cory Kromer-Edwards, Suely Oliveira:
Compound RNN to predict MICs using K-Mer Fingerprints and Antibiotic SMILES. BCB 2023: 30:1-30:5 - Nguyen-Quoc-Khanh Le, Quang-Hien Kha:
A Sequence-Based Prediction Model of Vesicular Transport Proteins Using Ensemble Deep Learning. BCB 2023: 106:1-106:6 - Mengzhen Li, Mustafa Coskun, Mehmet Koyutürk:
Canonical Representation of Biological Networks Using Graph Convolution. BCB 2023: 5:1-5:9 - Changrui Li, Filip Jagodzinski:
Identifying Impactful Pairs of Insertion Mutations in Proteins. BCB 2023: 99:1-99:8 - Bingjun Li, Sheida Nabavi:
Contrastive Learning in Single-cell Multiomics Clustering. BCB 2023: 65:1 - Xiang Li, Mingfu Shao:
On de novo Bridging Paired-end RNA-seq Data. BCB 2023: 41:1-41:5 - Rui Li, Andrew Wen, Jing Gao, Hongfang Liu:
MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks. BCB 2023: 11:1-11:10 - Mengjing Liu, Mohammed Elbadry, Yindong Hua, Zongxing Xie, Fan Ye:
Proteus: Towards a Manageability-focused Home-based Health Monitoring Infrastructure. BCB 2023: 49:1-49:6 - Brandon Edward Lukas, Yang Dai:
An Integrative Approach to Building Regulatory Potential-Weighted Gene Regulatory Networks: A Leiomyoma Case Study. BCB 2023: 23:1-23:6 - Leran Ma, Ke Chen, Mingfu Shao:
On the Maximal Independent Sets of k-mers with the Edit Distance. BCB 2023: 42:1-42:6 - Alexis L. Marsh, Myra B. Cohen, Robert W. Cottingham:
CORE: Comparable, Open, Reliable, Extensible Software: An Experience Report of Four Flux Balance Analysis Tools. BCB 2023: 66:1 - Anthony James Maxin, Bernice G. Gulek, Rami Shaibani, Alex Mariakakis, Lynn B. McGrath, Michael R. Levitt:
Smartphone-based Pupillometry for Diagnosis of Ischemic and Hemorrhagic Stroke. BCB 2023: 92:1 - Arun Nampally, Joseph Kim, Eric Proffitt, Eugene Palovcak, Alix Lacoste:
Reference-Free Imputation of Targeted Next-Generation Sequence Datasets. BCB 2023: 90:1 - Thu Nguyen, Yongcheng Mu, Jiangwen Sun, Jing He:
An Approach to Developing Benchmark Datasets for Protein Secondary Structure Segmentation from Cryo-EM Density Maps. BCB 2023: 102:1-102:8 - Quoc Nguyen, Layla Oesper:
Generalized Matching Distance: Tumor Phylogeny Comparison Beyond the Infinite Sites Assumption. BCB 2023: 10:1-10:9 - Micky C. Nnamdi, Junior Ben Tamo, Sara Stackpole, Wenqi Shi, Benoit Marteau, May Dongmei Wang:
Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. BCB 2023: 39:1-39:6 - Joel Oduro-Afriyie, Hasan M. Jamil:
Enabling the Informed Patient Paradigm with Secure and Personalized Medical Question Answering. BCB 2023: 33:1-33:6 - Deepro Pasha, Yohei Rosen, Maxim Kuznetsov, Benedict Paten:
Genetic Site-Aware Three-Dimensional Layout Algorithm for Variation Graphs. BCB 2023: 75:1 - Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan:
Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. BCB 2023: 93:1 - Alif Bin Abdul Qayyum, Xiaoning Qian, Byung-Jun Yoon:
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser. BCB 2023: 72:1 - Felix Quintana, Todd J. Treangen, Lydia E. Kavraki:
Leveraging Large Language Models for Predicting Microbial Virulence from Protein Structure and Sequence. BCB 2023: 103:1-103:6 - Morteza Rahimi, Zeina Al Masry, John Michael Templeton, Sandra L. Schneider, Christian Poellabauer:
Beyond Motor Symptoms: Toward a Comprehensive Grading of Parkinson's Disease Severity. BCB 2023: 24:1-24:6 - Pritish Ranjan, Shyam Sundar Das, Narayanan Ramamurthi:
Investigation of Drug Repurposing Opportunities Using Side-effects data, Topic Modelling and Clustering Algorithms. BCB 2023: 79:1 - Alon Rashelbach, Ori Rottenstreich, Mark Silberstein:
Nucleotide String Indexing using Range Matching. BCB 2023: 83:1-83:2 - Lorenzo Di Rocco, Umberto Ferraro Petrillo:
A Distributed Alignment-free Pipeline for Human SNPs Genotyping. BCB 2023: 20:1-20:8 - Dikshant Sagar, Ali Risheh, Nida Sheikh, Negin Forouzesh:
Physics-Guided Deep Generative Model For New Ligand Discovery. BCB 2023: 1-9 - Arpita Saha, Maggie Samaan, Bo Peng, Xia Ning:
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data. BCB 2023: 21:1-21:6 - Niranjan Sahi, Anda Liang, Sean Mchale, Wyn Van Devanter, Peng Zhang:
Interoperable Healthcare with Blockchain: A Data Transfer Model. BCB 2023: 78:1 - Kowshika Sarker, Ruoqing Zhu, Hannah D. Holscher, ChengXiang Zhai:
Augmenting nutritional metabolomics with a genome-scale metabolic model for assessment of diet intake. BCB 2023: 4:1-4:10
