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We devised a systematic pipeline that integrates various biological properties and identifies novel potential anti-cancer drug targets.
The systematic pipeline, consisting of four steps including image segmentation, feature calculation, feature extraction and classification, is summarized in Figure 1.
Scientists are still laying the rudiments of a systematic "pipeline" for biomarker discovery, says Dan Liebler, a professor of biochemistry, pharmacology, and biomedical informatics at Vanderbilt University School of Medicine.
The current study provides a systematic pipeline for the automated detection of horizontal gene transfer events from several complete proteomic sequences and therefore can be applied to detect the instances of gens transfer for other genomes of interest.
By combining three gene-set analytical methods in one R statistical package, C.-Y. Chien et al. presented MAVTgsa, offering a systematic pipeline for the identification of significant gene-set modules from a set of gene expression data.
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We selected the datasets generated using three different pipelines to rule out the possibility of a systematic, pipeline-specific bias.> Coordinates were unified using LiftOver (http://genome.ucsc.edu/cgi-bin/hgLiftOver) to remap to the hg19 reference as needed.
We developed a systematic computational pipeline that integrates data from well-established databases.
Using a systematic computational pipeline, we have characterized potential genomic variations with functional consequences and association with drug resistance.
Using a systematic computational pipeline, we have annotated potential functional variants and drug-resistance-associated variants from the variome.
Long timelines generate high costs; increased fiscal constraints thus necessitate modernizing all stages of the systematic review pipeline to increase efficiency.
To this end, we present here a systematic practical pipeline comparison of eight software packages edgeR, DESeq, baySeq, NOIseq, SAMseq, limma, Cuffdiff 2 and EBSeq, which represent the current state-of-the-art of the field.
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