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ACSCeND

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1.0 ACSCeND-1.0-py2.py3-none-any.whl

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Project: ACSCeND
Version: 1.0
Filename: ACSCeND-1.0-py2.py3-none-any.whl
Download: [link]
Size: 3872575
MD5: a0c4430cedbc174bce378dd3d25668ed
SHA256: 02f029e79282314cc00fb49aa6186abaad5bba458e60d24557e06a57bc08afff
Uploaded: 2024-12-03 11:02:22 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ACSCeND
Version: 1.0
Summary: A deep learning tool for bulk RNA-seq deconvolution and Stem Cells Sub-Class prediction.
Author: Shreyansh Priyadarshi
Author-Email: shreyansh.priyadarshi02[at]gmail.com
Home-Page: https://github.com/SML-CompBio/ACSCEND
License: MIT License
Requires-Dist: pandas (==2.2.0)
Requires-Dist: numpy (==1.26.3)
Requires-Dist: torch (==2.1.2)
Requires-Dist: scikit-learn (==1.5.0)
Requires-Dist: joblib (==1.4.2)
Requires-Dist: scipy (==1.11.4)
Description-Content-Type: text/markdown
[Description omitted; length: 1516 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
ACSCeND/__init__.py sha256=Uey27-uhdr0gncpdYXxsyE4cxyG42RJdQuThMaM9_NE 102
ACSCeND/acscend.py sha256=FT5tAgN3DzO1sWzPhGIQwJyRnTanjkT8LOyhHwf4Gb4 7817
ACSCeND/lr_model.joblib sha256=0i9yO58skqXnm114uXcTBGAL3Ksrn2ONoU5MoHXoHOk 4691520
ACSCeND/model.py sha256=TcH63lNnWZVUKPj8gjybYH_lk6ckxhbNqliAxgXHvuU 2452
ACSCeND/utils.py sha256=0wbIvjOdsxmAweK2PVHeugq2kBzq8UTYwtKM_kq5QX0 1950
ACSCeND-1.0.dist-info/METADATA sha256=HK9_YotvjVRXJK93KHYzCTgNptlCRc52WZS-5RE3wQE 2125
ACSCeND-1.0.dist-info/WHEEL sha256=DZajD4pwLWue70CAfc7YaxT1wLUciNBvN_TTcvXpltE 110
ACSCeND-1.0.dist-info/top_level.txt sha256=KqTcRQCOv9RRAC2EnMbrMwNDlFIBdiC_3I-FW_EZRPc 8
ACSCeND-1.0.dist-info/RECORD — —

top_level.txt

ACSCeND