Projects: pypi: splatter
https://packages.ecosyste.ms/registries/pypi.org/packages/splatter
Vizualizing multidimensional points in a pleasing and informative way
2 versions
Latest release: almost 5 years ago
17 downloads last month
Enhanced Analysis
Repository Activity:
Repository Owner:
OtoSense (organization)
Sound and vibration recognition. Signal AI.
Sound and vibration recognition. Signal AI.
README Analysis:
Science Score: 65/100
Starting Score: 100 points
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
Very Likely Science (65)
Papers Mentioning splatter 6
10.12688/f1000research.15666.3
A systematic performance evaluation of clustering methods for single-cell RNA-seq dataCited by: 33
Author(s): Angelo Duò, Mark D. Robinson, Charlotte Soneson
Software Mentions: 17
Published: over 4 years ago
10.3390/life11070716
Single-Cell Transcriptome Profiling Simulation Reveals the Impact of Sequencing Parameters and Algorithms on ClusteringCited by: 0
Author(s): Yunhe Liu, Aoshen Wu, Xueqing Peng, Xiaona Liu, Gang Liu, Lei Liu
Software Mentions: 15
Published: about 4 years ago
10.1186/s13059-021-02407-x
Optimizing expression quantitative trait locus mapping workflows for single-cell studiesCited by: 30
Author(s): Anna Cuomo, Giordano Alvari, Christina B. Azodi, Davis J. McCarthy, Marc Jan Bonder
Software Mentions: 9
Published: about 4 years ago
10.1093/jmcb/mjaa052
Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropoutsCited by: 18
Author(s): Lihua Zhang, Shihua Zhang
Software Mentions: 9
Published: almost 5 years ago
10.1186/s12864-018-4772-0
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomicsCited by: 1,344
Author(s): Kelly Street, Davide Risso, Russell B. Fletcher, Diya Das, John Ngai, Nir Yosef, Elizabeth Purdom, Sandrine Dudoit
Software Mentions: 8
Published: about 7 years ago
10.1093/bioinformatics/btx631
Towards unified quality verification of synthetic count data with <i>countsimQC</i>Cited by: 39
Author(s): Charlotte Soneson, Mark D. Robinson
Software Mentions: 5
Published: almost 8 years ago