Succinct Representation of Single Cells

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ZengFLab from gravatar.com ZengFLab

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Feng Zeng
  • Requires: Python >=3.10
Classifiers
Report project as malware

Project description

SURE: SUccinct REpresentation of cells

SURE introduces a vector quantization-based probabilistic generative model for calling metacells and use them as landmarks that form a coordinate system for cell ID. Analyzing single-cell omics data in a manner analogous to reference genome-based genomic analysis.

$$\color{red}\text{\textbf{UPDATE}}$$

An update has been distributed. Users can access to it via SUREv2. It provides Python classes that users can call SURE in scripts. It also provide the command that users can run SURE in the shell. Additionally, SUREv2 supports the calling of metacells for multi-omics datasets.

Installation

  1. Create a virtual environment
conda create -n SUREv1 python=3.10 scipy numpy pandas scikit-learn && conda activate SUREv1
  1. Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
  1. Install SURE
pip3 install SURE-tools

Example 1: Calling metacells for a single-cell dataset

Users can refer to here for details.

Example 2: The hierarchical assembly of large-scale dataset(s)

Users can refer to here for details.

Example 3: Human brain cell atlas

Users can refer to here for details.

Example 4: Metacell calling for scATAC-seq data

Users can refer to here for details.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ZengFLab from gravatar.com ZengFLab

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Feng Zeng
  • Requires: Python >=3.10
Classifiers

Release history Release notifications | RSS feed

4.8.9

4.8.8

4.8.7

4.8.6

4.8.5

4.8.4

4.8.3

4.8.2

4.8.1

4.8.0

4.7.8

4.7.7

4.7.6

4.7.5

4.7.4

4.7.3

4.7.2

4.7.1

4.7.0

4.6.10

4.6.9

4.6.8

4.6.7

4.6.6

4.6.5

4.6.4

4.6.3

4.6.2

4.6.1

4.6.0

4.5.18

4.5.17

4.5.16

4.5.15

4.5.14

4.5.13

4.5.12

4.5.11

4.5.10

4.5.9

4.5.8

4.5.7

4.5.6

4.5.5

4.5.4

4.5.3

4.5.2

4.5.1

4.5.0

4.4.10

4.4.9

4.4.8

4.4.7

4.4.6

4.4.5

4.4.4

4.4.3

4.4.2

4.4.1

4.4.0

4.3.0

4.2.6

4.2.5

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.1

4.1.0

4.0.30

4.0.29

4.0.28

4.0.27

4.0.26

4.0.25

4.0.24

4.0.23

4.0.22

4.0.21

4.0.20

4.0.19

4.0.18

4.0.17

4.0.16

4.0.15

4.0.14

4.0.13

4.0.12

4.0.11

4.0.10

4.0.9

4.0.8

4.0.7

4.0.6

4.0.5

4.0.4

4.0.3

4.0.2

4.0.1

4.0.0

3.7.4

3.7.3

3.7.2

3.7.1

3.7.0

3.6.14

3.6.13

3.6.12

3.6.11

3.6.10

3.6.9

3.6.8

3.6.7

3.6.6

3.6.5

3.6.4

3.6.3

3.6.2

3.6.1

3.6.0

3.5.27

3.5.26

3.5.25

3.5.24

3.5.23

3.5.22

3.5.21

3.5.20

3.5.19

3.5.18

3.5.17

3.5.16

3.5.15

3.5.14

3.5.13

3.5.12

3.5.11

3.5.10

3.5.9

3.5.8

3.5.7

3.5.6

3.5.5

3.5.4

3.5.3

3.5.2

3.5.1

3.5.0

3.4.29

3.4.28

3.4.27

3.4.26

3.4.25

3.4.24

3.4.23

3.4.22

3.4.21

3.4.20

3.4.19

3.4.18

3.4.17

3.4.16

3.4.15

3.4.14

3.4.13

3.4.12

3.4.10

3.4.9

3.4.8

3.4.7

3.4.6

3.4.5

3.4.4

3.4.3

3.4.2

3.4.1

3.4.0

3.3.37

3.3.36

3.3.35

3.3.34

3.3.33

3.3.32

3.3.31

3.3.30

3.3.29

3.3.28

3.3.27

3.3.26

3.3.25

3.3.24

3.3.23

3.3.22

3.3.21

3.3.20

3.3.19

3.3.18

3.3.17

3.3.16

3.3.15

3.3.14

3.3.13

3.3.12

3.3.11

3.3.10

3.3.9

3.3.8

3.3.7

3.3.6

3.3.5

3.3.4

3.3.3

3.3.2

3.3.1

3.3.0

3.2.41

3.2.40

3.2.39

3.2.38

3.2.37

3.2.36

3.2.35

3.2.34

3.2.33

3.2.32

3.2.31

3.2.30

3.2.29

3.2.28

3.2.27

3.2.26

3.2.25

3.2.24

3.2.23

3.2.22

This version

3.2.21

3.2.20

3.2.19

3.2.18

3.2.17

3.2.16

3.2.15

3.2.14

3.2.13

3.2.12

3.2.11

3.2.10

3.2.9

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.2

3.2.1

3.2.0

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.10

3.0.9

3.0.8

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.4.104

2.4.103

2.4.102

2.4.101

2.4.100

2.4.99

2.4.98

2.4.97

2.4.96

2.4.95

2.4.94

2.4.93

2.4.92

2.4.91

2.4.90

2.4.89

2.4.88

2.4.87

2.4.86

2.4.85

2.4.84

2.4.83

2.4.82

2.4.81

2.4.80

2.4.79

2.4.78

2.4.77

2.4.76

2.4.75

2.4.74

2.4.73

2.4.72

2.4.71

2.4.70

2.4.69

2.4.68

2.4.67

2.4.66

2.4.65

2.4.64

2.4.63

2.4.60

2.4.59

2.4.58

2.4.57

2.4.56

2.4.55

2.4.54

2.4.53

2.4.52

2.4.51

2.4.50

2.4.49

2.4.48

2.4.47

2.4.45

2.4.44

2.4.43

2.4.42

2.4.41

2.4.40

2.4.39

2.4.38

2.4.37

2.4.36

2.4.35

2.4.34

2.4.33

2.4.32

2.4.31

2.4.29

2.4.28

2.4.25

2.4.24

2.4.23

2.4.22

2.4.21

2.4.20

2.4.19

2.4.18

2.4.17

2.4.16

2.4.15

2.4.14

2.4.13

2.4.12

2.4.11

2.4.10

2.4.9

2.4.8

2.4.7

2.4.6

2.4.5

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.2

2.3.1

2.3.0

2.2.28

2.2.27

2.2.26

2.2.25

2.2.24

2.2.23

2.2.21

2.2.20

2.2.19

2.2.18

2.2.17

2.2.16

2.2.15

2.2.14

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.92

2.1.91

2.1.90

2.1.89

2.1.88

2.1.87

2.1.86

2.1.85

2.1.84

2.1.83

2.1.82

2.1.81

2.1.80

2.1.79

2.1.78

2.1.77

2.1.76

2.1.74

2.1.73

2.1.71

2.1.70

2.1.69

2.1.68

2.1.67

2.1.66

2.1.65

2.1.64

2.1.63

2.1.62

2.1.61

2.1.60

2.1.59

2.1.58

2.1.57

2.1.56

2.1.55

2.1.54

2.1.53

2.1.52

2.1.51

2.1.50

2.1.49

2.1.48

2.1.47

2.1.46

2.1.45

2.1.44

2.1.43

2.1.42

2.1.41

2.1.40

2.1.39

2.1.38

2.1.37

2.1.36

2.1.35

2.1.34

2.1.33

2.1.32

2.1.31

2.1.30

2.1.29

2.1.28

2.1.27

2.1.26

2.1.25

2.1.24

2.1.22

2.1.21

2.1.20

2.1.19

2.1.18

2.1.17

2.1.16

2.1.15

2.1.14

2.1.13

2.1.12

2.1.11

2.1.10

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

1.0.10

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sure_tools-3.2.21.tar.gz (45.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sure_tools-3.2.21-py3-none-any.whl (72.8 kB view details)

Uploaded Python 3

File details

Details for the file sure_tools-3.2.21.tar.gz.

File metadata

  • Download URL: sure_tools-3.2.21.tar.gz
  • Upload date:
  • Size: 45.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for sure_tools-3.2.21.tar.gz
Algorithm Hash digest
SHA256 b82f05f91b9afebd2616068f661b05a32accb406cb686d3d386b67c9cfc59653
MD5 b848bfd31fb351fb79abe119b47a20a2
BLAKE2b-256 e1421c905359bd38edc9af72a49e80ab8a97c96a9bd9726e2450f34152239254

See more details on using hashes here.

File details

Details for the file sure_tools-3.2.21-py3-none-any.whl.

File metadata

  • Download URL: sure_tools-3.2.21-py3-none-any.whl
  • Upload date:
  • Size: 72.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for sure_tools-3.2.21-py3-none-any.whl
Algorithm Hash digest
SHA256 a14e1f9f371d69f8ca30513d1ba623864e053604f5793c0a13970be20bbcec84
MD5 9a2585b8a42a57ef2848c4a55266650c
BLAKE2b-256 8b9ce73c384c79645e9ca04ee8579e5e8e14dd8fb3f2effa5f67cf3266b9ec41

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page