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DiNAR: revealing hidden patterns of plant signalling dynamics using Different...
Abstract Background Progress in high-throughput molecular methods accompanied by more complex experimental designs demands novel data visualisation solutions. To specifically... -
A measure of the impact of CV incompleteness on prediction error estimation w...
Abstract Background In applications of supervised statistical learning in the biomedical field it is necessary to assess the prediction error of the respective prediction rules.... -
Sparse generalized linear model with L 0 approximation f...
Abstract Background Feature selection and prediction are the most important tasks for big data mining. The common strategies for feature selection in big data mining are L 1,... -
Gene name errors are widespread in the scientific literature
Abstract The spreadsheet software Microsoft Excel, when used with default settings, is known to convert gene names to dates and floating-point numbers. A programmatic scan of... -
Gene expression prediction using low-rank matrix completion
Abstract Background An exponential growth of high-throughput biological information and data has occurred in the past decade, supported by technologies, such as microarrays and... -
CIDR: Ultrafast and accurate clustering through imputation for single-cell RN...
Abstract Most existing dimensionality reduction and clustering packages for single-cell RNA-seq (scRNA-seq) data deal with dropouts by heavy modeling and computational... -
Andrographis paniculata transcriptome provides molecular insights into tissue...
Abstract Background Kalmegh (Andrographis paniculata) has been widely exploited in traditional medicine for the treatment of infectious diseases and health disorders.... -
Current infection control practices used in Australian and New Zealand cystic...
Abstract Background The 2013 update of the Infection Prevention and Control (IP&C) Guideline outlined recommendations to prevent the spread of CF respiratory pathogens. We... -
Novel three-dimensional bone ‘mapping’ software can help assess progression o...
Abstract Imaging of bone metastasis response to therapy is a research priority. Stradwin is a new software-tool, with demonstrated sub-voxel accuracy in assessing cortical bone... -
Landscape of gene fusions in epithelial cancers: seq and ye shall find
Abstract Enabled by high-throughput sequencing approaches, epithelial cancers across a range of tissue types are seen to harbor gene fusions as integral to their landscape of... -
What is the available evidence for the range of applications of genome-editin...
Abstract Background Within the last decades, genome-editing techniques such as CRISPR/Cas, TALENs, Zinc-Finger Nucleases, Meganucleases, Oligonucleotide-Directed Mutagenesis and... -
Measures for interoperability of phenotypic data: minimum information require...
Abstract Background Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the... -
Development of a prediction model for breast cancer based on the national can...
Abstract Background This study aimed to develop a prognostic model to predict the breast cancer-specific survival and overall survival for breast cancer patients in Asia and to... -
Field-matter integral overlap to estimate the sensitivity of surface plasmon ...
We have analyzed the effectiveness of field-matter integral overlap between target index distribution and local near-fields to assess detection sensitivity of surface plasmon... -
Calibration: the Achilles heel of predictive analytics
Abstract Background The assessment of calibration performance of risk prediction models based on regression or more flexible machine learning algorithms receives little... -
IDAAPM: integrated database of ADMET and adverse effects of predictive modeli...
Abstract Background The disposition of a pharmaceutical compound within an organism, i.e. its Absorption, Distribution, Metabolism, Excretion, Toxicity (ADMET) properties and... -
Engineering yeast artificial core promoter with designated base motifs
Abstract Background Synthetic biology requires toolbox of promoters to finely tune gene expression levels for building up efficient cell factories. Yeast promoters owned... -
Claudin-low-like mouse mammary tumors show distinct transcriptomic patterns u...
Abstract Background Claudin-low breast cancer is a molecular subtype associated with poor prognosis and without targeted treatment options. The claudin-low subtype is defined by... -
FHIR PIT: an open software application for spatiotemporal integration of clin...
Abstract Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are... -
MaveDB: an open-source platform to distribute and interpret data from multipl...
Abstract Multiplex assays of variant effect (MAVEs), such as deep mutational scans and massively parallel reporter assays, test thousands of sequence variants in a single...
