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Proteomic profiling of cerebrospinal fluid identifies biomarkers for amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS) is characterized by degeneration of motor neurons. We tested the hypothesis that proteomic analysis will identify protein biomarkers that provide insight intoExpand
Measuring Stability of Feature Selection in Biomedical Datasets
We present a stability measure called the adjusted stability measure that computes robustness of a feature selection method with respect to random feature selection. Expand
Discovery and verification of amyotrophic lateral sclerosis biomarkers by proteomics
Recent studies using mass spectrometry have discovered candidate biomarkers for amyotrophic lateral sclerosis (ALS). However, those studies utilized small numbers of ALS and control subjects.Expand
A Metaproteomic Approach to Study Human-Microbial Ecosystems at the Mucosal Luminal Interface
Aberrant interactions between the host and the intestinal bacteria are thought to contribute to the pathogenesis of many digestive diseases. However, studying the complex ecosystem at the humanExpand
An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data
In this work, we apply four popular methods (mean imputation, decision tree, k-nearest neighbors, and self-organizing maps) to a clinical research dataset of pediatric patients undergoing evaluation for cardiomyopathy. Expand
Context sensitive vocabulary and its application in protein secondary structure prediction
Protein secondary structure prediction is an important step towards understanding the relation between protein sequence and structure. Expand
A Multiplexed Serum Biomarker Immunoassay Panel Discriminates Clinical Lung Cancer Patients from High-Risk Individuals Found to be Cancer-Free by CT Screening
Introduction: Clinical decision making in the setting of computed tomography (CT) screening could benefit from accessible biomarkers that help predict the level of lung cancer risk in high-riskExpand
Evaluation of a 4‐protein serum biomarker panel—biglycan, annexin‐A6, myeloperoxidase, and protein S100‐A9 (B‐AMP)—for the detection of esophageal adenocarcinoma
Esophageal adenocarcinoma (EAC) is associated with a dismal prognosis. The identification of cancer biomarkers can advance the possibility for early detection and better monitoring of tumorExpand
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. Expand
Bayesian rule learning for biomedical data mining
We have combined the expressiveness of rules with the mathematical rigor of Bayesian networks (BNs) to develop and evaluate a Bayesian rule learning (BRL) system. Expand