All Stories

  1. A Machine Learning and Benchmarking Approach for Molecular Formula Assignment of Ultra High-Resolution Mass Spectrometry Data from Complex Mixtures
  2. FiCOPS: Hardware/Software Co-Design of FPGA Computational Framework for Mass Spectrometry-Based Peptide Database Search
  3. MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning
  4. TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models
  5. MLSPred-bench: Transforming electroencephalography (EEG) datasets into machine learning-ready epileptic seizure prediction benchmarks
  6. HINN: Hierarchical Input Neural Network identifies multi-omics biomarker for cognitive decline
  7. Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models
  8. fairGNN-WOD: Fair Graph Learning Without Complete Demographics
  9. RAPTOR: Reconfigurable Advanced Platform for Transdisciplinary Open Research
  10. Habenula alterations in resting state functional connectivity among autistic individuals
  11. Message from the Program Chairs
  12. Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation
  13. Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction
  14. Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data
  15. Alzheimer’s disease‐associated gene ranking using PhenoGeneRanker
  16. TA‐RNN: an Attention‐based Time‐aware Recurrent Neural Network Architecture to Predict Progression of Alzheimer’s Disease
  17. Alzheimer’s disease diagnosis using gray matter of T1‐weighted sMRI data and vision transformer
  18. Predicting Individual’s Cognitive Performance Through Multi‐Omics Blood Data Using Hierarchical Input Neural Network ‐ HINN
  19. Identifying Alzheimer’s disease-associated genes using PhenoGeneRanker
  20. Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction
  21. Message from the Program Chairs
  22. Predicting peptide properties from mass spectrometry data using deep attention-based multitask network and uncertainty quantification
  23. fairGNN-WOD: Fair Graph Learning Without Complete Demographics
  24. MLSPred-Bench: ML-Ready Benchmark Leveraging Seizure Detection EEG data for Predictive Models
  25. Pvtad: Alzheimer’s Disease Diagnosis Using Pyramid Vision Transformer Applied to White Matter of T1-Weighted Structural Mri Data
  26. Robustness of ML-Based Seizure Prediction Using Noisy EEG Data From Limited Channels
  27. Communication Evaluation of a Wireless 4-Channel Wearable EEG for Brain-Computer Interface (BCI) and Healthcare Applications
  28. Making MS Omics Data ML-Ready: SpeCollate Protocols
  29. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study
  30. ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field
  31. Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study
  32. PVTAD: ALZHEIMER’S DISEASE DIAGNOSIS USING PYRAMID VISION TRANSFORMER APPLIED TO WHITE MATTER OF T1-WEIGHTED STRUCTURAL MRI DATA
  33. GPU-acceleration of the distributed-memory database peptide search of mass spectrometry data
  34. High Transaction Rates Performance Evaluation for Secure E-government Based on Private Blockchain Scheme
  35. Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data
  36. PPAD: a deep learning architecture to predict progression of Alzheimer’s disease
  37. Q-CASA Invited Speakers Quantum-Centric Supercomputing Strategies for Neuroscience problems: Challenges and Progress
  38. Description of Dissolved Organic Matter Transformational Networks at the Molecular Level
  39. PPAD: A deep learning architecture to predict progression of Alzheimer’s disease
  40. Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks
  41. SPERTL: Epileptic Seizure Prediction using EEG with ResNets and Transfer Learning
  42. Molecular level characterization of DOM along a freshwater-to-estuarine coastal gradient in the Florida Everglades
  43. US Renal Data System 2021 Annual Data Report: Epidemiology of Kidney Disease in the United States
  44. Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data
  45. Unsupervised Structural Classification of Dissolved Organic Matter Based on Fragmentation Pathways
  46. A Easy to Use Generalized Template to Support Development of GPU Algorithms
  47. Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions
  48. Computational CPU-GPU Template for Pre-processing of Floating-Point MS Data
  49. Existing HPC Methods and the Communication Lower Bounds for Distributed-Memory Computations for Mass Spectrometry-Based Omics Data
  50. Fast Spectral Pre-processing for Big MS Data
  51. G-MSR: A GPU-Based Dimensionality Reduction Algorithm
  52. High-Performance Computing Strategy Using Distributed-Memory Supercomputers
  53. Introduction to Mass Spectrometry Data
  54. Machine-Learning and the Future of HPC for MS-Based Omics
  55. Need for High-Performance Computing for MS-Based Omics Data Analysis
  56. Re-configurable Hardware for Computational Proteomics
  57. A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis
  58. DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images
  59. Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter
  60. SpeCollate: Deep cross-modal similarity network for mass spectrometry data based peptide deductions
  61. Message from the Program Chairs
  62. High performance computing framework for tera-scale database search of mass spectrometry data
  63. TurboBC: A GPU Based Betweenness Centrality Algorithm in the Language of Linear Algebra
  64. Real-time peptide identification from high-throughput mass-spectrometry data
  65. Search feasibility in distributed MS-proteomics big data
  66. Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification
  67. Simulation Testbed for Evaluating Distributed Querying and Searching of Mass Spectrometry Big Data in a Network-based Infrastructure
  68. A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets
  69. TurboBFS: GPU Based Breadth-First Search (BFS) Algorithms in the Language of Linear Algebra
  70. ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
  71. Benchmarking mass spectrometry based proteomics algorithms using a simulated database
  72. Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey
  73. Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data
  74. Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey
  75. NGS-Integrator: An efficient tool for combining multiple NGS data tracks using minimum Bayes’ factors
  76. Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications
  77. GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals
  78. ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
  79. Associations of caregiver-oncologist discordance in prognostic understanding with caregiver-reported therapeutic alliance and anxiety.
  80. Efficient Shared Peak Counting in Database Peptide Search Using Compact Data Structure for Fragment-Ion Index
  81. Optimized CNN-based Diagnosis System to Detect the Pneumonia from Chest Radiographs
  82. Auto-ASD-Network
  83. LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry Based Proteomics
  84. NGS‐Integrator: A Tool for Combining Information from Multiple Genome‐Wide NGS Data Tracks Using Minimum Bayes Factors
  85. GPU-DFC: A GPU-Based Parallel Algorithm for Computing Dynamic-Functional Connectivity of Big fMRI Data
  86. SLM-Transform: A Method for Memory-Efficient Indexing of Spectra for Database Search in LC-MS/MS Proteomics
  87. Gender and preferences for palliative care: Perceptions of efficacy.
  88. Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs
  89. GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data
  90. MaSS‐Simulator: A Highly Configurable Simulator for Generating MS/MS Datasets for Benchmarking of Proteomics Algorithms
  91. A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets
  92. Towards quantifying psychiatric diagnosis using machine learning algorithms and big fMRI data
  93. Similarity based classification of ADHD using singular value decomposition
  94. Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson’s Correlation Coefficients for Time Series Data—fMRI Study
  95. MaSS-Simulator: A highly configurable MS/MS simulator for generating test datasets for big data algorithms
  96. Power-efficient and highly scalable parallel graph sampling using FPGAs
  97. Scalable data structure to compress next-generation sequencing files and its application to compressive genomics
  98. A Hybrid MPI-OpenMP Strategy to Speedup the Compression of Big Next-Generation Sequencing Datasets
  99. An Out-of-Core GPU based Dimensionality Reduction Algorithm for Big Mass Spectrometry Data and Its Application in Bottom-up Proteomics
  100. GPU-PCC
  101. A New Cryptography Algorithm to Protect Cloud-Based Healthcare Services
  102. Systems-level analysis reveals selective regulation of Aqp2 gene expression by vasopressin
  103. Reductive Analytics on Big MS Data leads to tremendous reduction in time for peptide deduction
  104. GPU-ArraySort: A Parallel, In-Place Algorithm for Sorting Large Number of Arrays
  105. Comparative Outcomes of Carotid Artery Stent Placement and Carotid Endarterectomy in Patients with Chronic Kidney Disease and End-Stage Renal Disease
  106. A parallel peptide indexer and decoy generator for crux tide using OpenMP
  107. Introduction to the selected papers from the 7th International Conference on Bioinformatics and Computational Biology (BICoB 2015)
  108. Treatment Patterns and Outcomes for Ruptured and Unruptured Intracranial Aneurysms in Patients with Polycystic Kidney Disease (P1.249)
  109. MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing
  110. A Variable-Length Network Encoding Protocol for Big Genomic Data
  111. Data Aware Communication for Energy Harvesting Sensor Networks
  112. Autophagic degradation of aquaporin-2 is an early event in hypokalemia-induced nephrogenic diabetes insipidus
  113. Big data proteogenomics and high performance computing: Challenges and opportunities
  114. Variable pharmacokinetics of extended interval tobramycin or gentamicin among critically ill patients undergoing continuous venovenous hemofiltration
  115. A Parallel Algorithm for Compression of Big Next-Generation Sequencing Datasets
  116. Outcomes of transient ischemic attack in maintenance dialysis patients and those with chronic kidney disease
  117. Design and Implementation of Network Transfer Protocol for Big Genomic Data
  118. Acute Renal Failure Worsens In-hospital Outcomes in Patients with Intracerebral Hemorrhage
  119. Foreword
  120. Outcomes of Endovascular versus Intravenous Thrombolytic Treatment for Acute Ischemic Stroke in Dialysis Patients
  121. A knowledge base of vasopressin actions in the kidney
  122. Acute Renal Failure Is Associated With Higher Death and Disability in Patients With Acute Ischemic Stroke
  123. Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures
  124. Global analysis of the effects of the V2 receptor antagonist satavaptan on protein phosphorylation in collecting duct
  125. CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling
  126. Outcomes of Thrombolytic Treatment for Acute Ischemic Stroke in Dialysis-Dependent Patients in the United States
  127. Proteome-Wide Measurement of Protein Half-Lives and Translation Rates in Vasopressin-Sensitive Collecting Duct Cells
  128. FOREWORD TO THE SPECIAL ISSUE ON SELECTED PAPERS FROM THE 5TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (BICoB 2013)
  129. End-of-Life Care Beliefs Among Hindu Physicians in the United States
  130. A high performance algorithm for clustering of large-scale protein mass spectrometry data using multi-core architectures
  131. Quantitative phosphoproteomics implicates clusters of proteins involved in cell‐cell adhesion and transcriptional regulation in the vasopressin signaling network
  132. PhosSA: Fast and accurate phosphorylation site assignment algorithm for mass spectrometry data
  133. Quantitative phosphoproteomics in nuclei of vasopressin-sensitive renal collecting duct cells
  134. CPhos: A program to calculate and visualize evolutionarily conserved functional phosphorylation sites
  135. High performance <u>phos</u>phorylation <u>s</u>ite <u>a</u>ssignment algorithm for mass spectrometry data using multicore systems
  136. An efficient algorithm for clustering of large-scale mass spectrometry data
  137. Identifying protein kinase target preferences using mass spectrometry
  138. An efficient dynamic programming algorithm for phosphorylation site assignment of large-scale mass spectrometry data
  139. Dynamics of the G Protein-coupled Vasopressin V2 Receptor Signaling Network Revealed by Quantitative Phosphoproteomics
  140. A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes
  141. Stercoral ulcer as a cause of lower gastrointestinal (LGI) bleeding in chronic hemodialysis patients
  142. NHLBI-AbDesigner: an online tool for design of peptide-directed antibodies
  143. Large‐scale iTRAQ‐based quantification of phosphorylation changes during vasopressin signaling
  144. Mapping‐based temporal pattern mining algorithm (MTPMA) identifies unique clusters of phosphopeptides regulated by vasopressin in collecting duct
  145. Blood Loss through AV Fistula: A Case Report and Literature Review
  146. Lower Gastrointestinal Bleeding in Chronic Hemodialysis Patients
  147. Stroke after intravenous gamma globulin
  148. Comparative Evaluation of Whole Body and Hepatic Insulin Resistance Using Indices from Oral Glucose Tolerance Test in Morbidly Obese Subjects with Nonalcoholic Fatty Liver Disease
  149. A domain decomposition strategy for alignment of multiple biological sequences on multiprocessor platforms
  150. Multiple Sequence Alignment System for Pyrosequencing Reads
  151. Sample-Align-D: A high performance Multiple Sequence Alignment system using phylogenetic sampling and domain decomposition