Author

Jiří Adamec

University of Nebraska–LincolnORCID 0000-0003-4899-4406Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Akram MohammediD· 1 shared Greyson W. G. BiegertiD· 1 shared Tomáš HelikariD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Akram MohammedORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 31, 2017

CancerDiscover: A configurable pipeline for cancer prediction and biomarker identification using machine learning framework

Akram Mohammed, Greyson W. G. Biegert, Jiří Adamec, Tomáš Helikar

CancerDiscover is a pipeline that automates data integration, preprocessing, and classification model generation for cancer detection and biomarker identification using machine learning.

2 citations

whole-genome sequencingwhole-exome sequencing

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