Projects: pypi: OCAT
https://packages.ecosyste.ms/registries/pypi.org/packages/OCAT
A new single-cell analytics framework
79 versions
Latest release: almost 4 years ago
101 downloads last month
Enhanced Analysis
Repository Activity:
Repository Owner:
WangLab @ U of T (organization)
BoWang's Lab at University of Toronto Academic
BoWang's Lab at University of Toronto Academic
Science Score: 75/100
Starting Score: 100 points
Bonuses:
-
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers -
-10
No science terms in description
No scientific terms found in description -
-25
Non-science indicators
1 non-scientific terms found
Very Likely Science (75)
Papers Mentioning OCAT 6
10.5116/ijme.5740.4262
Psychometric characterization of the Obstetric Communication Assessment Tool for medical education: a pilot studyCited by: 2
Author(s): Aldeboran N. Rodriguez, Peter DeWitt, Jennifer Fisher, Kirsten J. Broadfoot, K. Joseph Hurt
Software Mentions: 4
Published: about 10 years ago
10.1186/1472-6920-13-75
Satisfaction with ophthalmology residency training from the perspective of recent graduates: a cross-sectional studyCited by: 18
Author(s): Tatiana Millán, Keila Monteiro de Carvalho
Software Mentions: 1
Published: about 13 years ago
10.1007/s11095-020-02965-y
Ocular Physiologically Based Pharmacokinetic Modeling for Ointment FormulationsCited by: 9
Author(s): Maxime Le Merdy, Jessica Spires, Viera Lukáčová, Ming‐Liang Tan, Andrew Babiskin, Xiaoming Xu, Liang Zhao, Michael B. Bolger
Software Mentions: 1
Published: over 5 years ago
10.4103/0301-4738.64141
Impact of a month-long training program on the clinical skills of ophthalmology residents and practitionersCited by: 6
Author(s): Sushma Tejwani, Somasheila I Murthy, Chandra Sekhar Gadudadri, Ravi Thomas, Praveen K Nirmalan
Software Mentions: 1
Published: over 16 years ago
10.3390/s110403545
A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle FatigueCited by: 203
Author(s): Mohammed Almulla, Francisco Sepúlveda, Martin Colley
Software Mentions: 1
Published: over 15 years ago
10.3390/s110201542
An Autonomous Wearable System for Predicting and Detecting Localised Muscle FatigueCited by: 32
Author(s): Mohammed Almulla, Francisco Sepúlveda, Martin Colley
Software Mentions: 1
Published: over 15 years ago