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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pcbi.1008044

https://doi.org/10.1371/journal.pcbi.1008044

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits

Cited by: 15
Author(s): Craig A. Glastonbury, Sara L. Pulit, Julius Honecker, Jenny C Censin, Samantha Laber, Hanieh Yaghootkar, Nilüfer Rahmioğlu, Emilie Pastel, Katarina Kos, Andrew M. Pitt, Michelle Hudson, Christoffer Nellåker, Nicola L. Beer, Hans Hauner, Christian M. Becker, Krina T. Zondervan, Timothy M. Frayling, Melina Claussnitzer, Cecilia M. Lindgren
Published: almost 5 years ago

Software Mentions 6

cran: metafor
Meta-Analysis Package for R
Papers that mentioned: 1,205
Very Likely Science (100)
cran: plink
IRT Separate Calibration Linking Methods
Papers that mentioned: 399
Very Likely Science (100)
pypi: CellProfiler
An open-source application for biological image analysis
Papers that mentioned: 1,504
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: plink
A full featured Tk-based knot and link editor
Papers that mentioned: 399
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)