- too-many-cells VS subsample
- too-many-cells VS collapse-duplication
- too-many-cells VS integreat
- too-many-cells VS normalize
- too-many-cells VS heatitup-complete
- too-many-cells VS tex-join-bib
- too-many-cells VS BiobaseEnsembl
- too-many-cells VS birch-beer
- too-many-cells VS hierarchical-spectral-clustering
- too-many-cells VS differential
Too-many-cells Alternatives
Similar projects and alternatives to too-many-cells
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subsample
Subsample data from a uniform distribution so two different statuses for the same entity have the same number of samples.
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collapse-duplication
Process the output of heatitup in order to collapse sequences into clones by similar ITD mutations.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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heatitup-complete
Find and annotate ITDs with assembly or read pair joining using suffix trees and characterize the exogenous segments within the spacer using heat diffusion. A layer on top of heatitup for additional functionality such as working with BAM files directly.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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differential
Finds out whether an entity comes from different distributions (statuses). (by GregorySchwartz)
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Tracking mentions began in Dec 2020.
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GregorySchwartz/too-many-cells is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of too-many-cells is Haskell.
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