Projects: pypi: fancyimpute
https://packages.ecosyste.ms/registries/pypi.org/packages/fancyimpute
Matrix completion and feature imputation algorithms
29 versions
Latest release: almost 4 years ago
5 dependent packages
29,820 downloads last month
Enhanced Analysis
Repository Activity:
Repository Owner:
Alex Rubinsteyn (user)
Genes and vectors
Genes and vectors
README Analysis:
DOI Found
ArXiv Preprint
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+10
Science terms in README
5 scientific terms found in README -
+20
DOI references
2 DOI references found in README -
+6
Academic links
1 academic links found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning fancyimpute 6
10.1371/journal.pone.0236878
Modeling cannabinoids from a large-scale sample of Cannabis sativa chemotypesCited by: 12
Author(s): Daniela Vergara, Reggie Gaudino, Thomas Blank, Brian Keegan
Software Mentions: 6
Published: almost 5 years ago
10.1093/bioinformatics/btz796
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learningCited by: 38
Author(s): Alena Orlenko, Daniel Kofink, Leo-Pekka Lyytikäinen, Kjell Nikus, Pashupati P. Mishra, Pekka Kuukasjärvi, Pekka J. Karhunen, Mika Kähönen, Jari Laurikka, Terho Lehtimäki, Folkert W. Asselbergs, Jason H. Moore
Software Mentions: 5
Published: over 5 years ago
10.1038/s41598-018-24271-9
Recurrent Neural Networks for Multivariate Time Series with Missing ValuesCited by: 1,110
Author(s): Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, Yanping Liu
Software Mentions: 4
Published: over 7 years ago
10.2196/medinform.8960
Characterizing and Managing Missing Structured Data in Electronic Health Records: Data AnalysisCited by: 100
Author(s): Brett K. Beaulieu‐Jones, Daniel R. Lavage, John W Snyder, Jason H. Moore, Sarah A. Pendergrass, Christopher R. Bauer
Software Mentions: 3
Published: over 7 years ago
10.1371/journal.pone.0199839
Predicting acute kidney injury in cancer patients using heterogeneous and irregular dataCited by: 24
Author(s): Namyong Park, Eunjeong Kang, Minsu Park, Hajeong Lee, Hee Gyung Kang, Hyung Jin Yoon, Ung Gu Kang
Software Mentions: 2
Published: about 7 years ago
10.3389/fnagi.2020.603179
A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's DiseaseCited by: 10
Author(s): Ibrahim Almubark, Lin‐Ching Chang, Kyle F. Shattuck, Thanh Nguyen, R. Scott Turner, Xiong Jiang
Software Mentions: 2
Published: over 4 years ago