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IEEE Transactions on NanoBioscience

Issue 4 • Date June 2016

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Displaying Results 1 - 16 of 16
  • Front cover

    Publication Year: 2016, Page(s): C1
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  • IEEE Transactions on NanoBioscience publication information

    Publication Year: 2016, Page(s): C2
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  • Table of contents

    Publication Year: 2016, Page(s): 305
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  • Guest Editorial IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015 Special Issue

    Publication Year: 2016, Page(s):306 - 308
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  • Identifying Individual-Cancer-Related Genes by Rebalancing the Training Samples

    Publication Year: 2016, Page(s):309 - 315
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1070 KB)

    The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far less than the number of all unknown genes, which makes it very hard to detect novel predictions from such imbalanced training samples. A regular machine learning method can either only detect genes related to all cancers or add clinical knowledge to... View full abstract»

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  • Facial Color Management for Mobile Health in the Wild

    Publication Year: 2016, Page(s):316 - 327
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2098 KB)

    Nowadays, mobile technologies have changed the patient routine health care and management. With a large amount of mobile health applications developed, massive and valuable health data are possibly collected with a smart mobile phone in hand. Facial color images are recently proved to be available and effective for health condition diagnosis both in modern medicine and ancient medicine perspective... View full abstract»

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  • Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning

    Publication Year: 2016, Page(s):328 - 334
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1038 KB)

    DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique, the number of protein sequences is unprecedentedly increasing. Thus it is necessary to develop computational methods to identify the DNA-binding proteins only based on the protein seq... View full abstract»

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  • Integrating Omics Data With a Multiplex Network-Based Approach for the Identification of Cancer Subtypes

    Publication Year: 2016, Page(s):335 - 342
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1608 KB)

    Comprehensive characterization and identification of cancer subtypes have a number of applications and implications in life science and cancer research. Technologies centered on the integration of omics data hold great promise in this endeavor. This paper proposed a multiplex network-based approach for integrative analysis of heterogeneous omics data. It represents a useful alternative network-bas... View full abstract»

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  • Computational Synteny Block: A Framework to Identify Evolutionary Events

    Publication Year: 2016, Page(s):343 - 353
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1960 KB) |  Multimedia Media

    Motivation: The identification and accurate description of large genomic rearrangements is crucial for the study of evolutionary events among species and implicitly defining breakpoints. Although there is a number of software tools available to perform this task, they usually either a) require a collection of pre-computed non-conflicting high-scoring segment pairs (HSPs) and gene annotations; or b... View full abstract»

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  • Data Sampling and Supervised Learning for HIV Literature Screening

    Publication Year: 2016, Page(s):354 - 361
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2268 KB)

    This paper presents a supervised learning approach to support the screening of HIV literature. The manual screening of biomedical literature is an important task in the process of systematic reviews. Researchers and curators have the very demanding, time-consuming, and error-prone task of manually identifying documents that should be included in a systematic review concerning a specific problem. W... View full abstract»

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  • A Two-Stage Method to Identify Joint Modules From Matched MicroRNA and mRNA Expression Data

    Publication Year: 2016, Page(s):362 - 370
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1730 KB)

    MicroRNAs (miRNAs) are a class of small non-coding RNAs, which play key roles in gene regulation. Previous studies have revealed that they are likely to work together to regulate their common target genes. Discovery of the underlying combinatorial regulation between miRNAs and genes can provide useful information for understanding their functions as well as their close relevance to cancer. In this... View full abstract»

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  • Predicting Comorbid Conditions and Trajectories Using Social Health Records

    Publication Year: 2016, Page(s):371 - 379
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1980 KB)

    Many patients suffer from comorbidity conditions; for example, obese patients often develop type-2 diabetes and hypertension. In the U.S., 80% of Medicare spending is for managing patients with these multiple coexisting conditions. Predicting potential comorbidity conditions for an individual patient can promote preventive care and reduce costs. Predicting possible comorbidity progression p... View full abstract»

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  • Alignment of PPI Networks Using Semantic Similarity for Conserved Protein Complex Prediction

    Publication Year: 2016, Page(s):380 - 389
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1630 KB)

    Network alignment is a computational technique to identify topological similarity of graph data by mapping link patterns. In bioinformatics, network alignment algorithms have been applied to protein-protein interaction (PPI) networks to discover evolutionarily conserved substructures at the system level. In particular, local network alignment of PPI networks searches for conserved functional compo... View full abstract»

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  • An Efficient Algorithm for Microbiome Sample Visualization Based on UniFrac Distance and Laplace Matrix

    Publication Year: 2016, Page(s):390 - 396
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6090 KB)

    Visualization is an important method of data analysis in the study of microbiome, with the dimensionality reduction techniques as its prerequisites for high-dimensional data. Multidimensional scaling (MDS), as a popular method for data visualization, can provide a low-dimensional representation of the original data utilizing its distance matrix. Meanwhile, the unique fraction metric (UniFrac) is a... View full abstract»

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  • IEEE Transactions on NanoBioscience information for authors

    Publication Year: 2016, Page(s): C3
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  • [Blank page]

    Publication Year: 2016, Page(s): C4
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Aims & Scope

The IEEE Transactions on NanoBioscience publishes basic and applied papers dealing both with engineering, physics, chemistry, modeling and computer science and with biology and medicine with respect to molecules, cells, tissues. The content of acceptable papers ranges from practical/clinical/environmental applications to formalized mathematical theory.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Henry Hess
Department of Biomedical Engineering
Columbia University