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s into a matrix, and then perform singular value decomposition to produce a lower dimensional manifold [9]. They show how the resultant decomposition can be used for miRNA and term queries, and they perform clustering and functional annotation of the miRNAs. The authors present an interesting utilization of unsupervised text mining for the annotation of miRNAs. Glass and Dozmorov report the impact of parameters such as sample size, cell type-specific proportion variability, mean squared error, etc., on power analysis of linear regression used for estimating cell type-specific gene expression [10]. They incorporate these analyses that can determine the probable significant detection into LRCDE, an R package that performs linear regression cell type-specific differential expression detection on a gene-by-gene basis. Liu et al. describe a workflow and a database useful for plant geneticists and bioinformaticians [11]. While workflows for sequencing data for human and model organisms have been extensively tested, their application to plant sequencing data is less developed. This workflow is optimized for high-performance processing of plant sequencing data. Extendable to other organisms, it will aid both novices and sequencing data analysis professionals. Imaging Mutlu Mete et al. reported a generalizable machine learning framework and applied the framework in classification of cocaine dependent subjects using brain imaging [12]. This framework reduces data dimension by information theory based feature selection followed by a statistical classifier from machine learning. The results demonstrated the proposed framework is efficient to classify cocaine-dependent and healthy individuals and can be generalized to classifications. Sertan Kaya et al. describe a novel method for automatic detection of malignancy of the skin lesion in dermoscopy images using the texture homogeneity along the periphery of the lesion [13]. This method performs with high accuracy, and can contribute to early diagnosis of malignant melanoma by distinguishing it from benign lesions.

Proceedings of the 2016 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference