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Multivariate Data Quality Enhancement by Ranked Imputation

This work presents a prediction-based data imputation technique, Rank Based Multivariate Imputation (RBMI) that operates on multivariate data.  ...  Real time data is prone to inconsistencies, which exhibit negative impacts on the quality of the predictions. This mandates the need for data imputation techniques.  ...  A data imputation model for genetic sequences was presented by Chen et al. [18] . The proposed Gimpute model creates pipelines to effectively perform imputation on genomes.  ... 
doi:10.35940/ijitee.c9027.019320 fatcat:reupha25qbhnlpiwe4odfozwzm

Generative network models identify biological mechanisms of altered structural brain connectivity in schizophrenia [article]

Xiaolong Zhang, Urs Braun, Anais Harneit, Zhenxiang Zang, Lena Geiger, Richard Betzel, Junfang Chen, Janina Schweiger, Kristina Schwarz, Jonathan Rochus Reinwald, Stefan Fritze, Stephanie Witt (+8 others)
2019 bioRxiv   pre-print
Spatial constraints were linked to the genetic risk for schizophrenia and general cognitive functioning, thereby providing insights into their biological basis and behavioral relevance.  ...  Quality control and imputation was performed with Gimpute (31) (see Supplement for details).  ...  In addition, the genetic contributions to these phenotypes can be studied with modern genetic approaches utilizing the potential of cumulative genetic risk scores.  ... 
doi:10.1101/604322 fatcat:om4rnp4kb5ebzlyrm47533tlam

Biologically informed risk scoring in schizophrenia based on genome-wide omics data

Junfang Chen
For all given samples, standard quality control (QC) and imputation are performed using Gimpute pipeline ). The following QC steps were applied: 1.)  ...  The same genotyping QC and imputation procedure as above was applied for GWAS MGS data.  ... 
doi:10.11588/heidok.00028981 fatcat:f6o4bzpuinhfdbg3pgyl76kxwm