Published March 12, 2022
| Version v2
Dataset
Open
Unsupervised neural network for single cell Multi-omics INTegration (UMINT): An application to health and disease
Authors/Creators
- 1. Indian Statistical Institute Kolkata
- 2. University of Calcutta
- 3. Novo Nordisk A/S
- 4. Indian Statistical Institute
Contributors
Editor (2):
- 1. Indian Statistical Institute Kolkata
- 2. Novo Nordisk A/S
Description
This dataset repository corresponds to the project Unsupervised neural network for single cell Multi-omics INTegration (UMINT): An application to health and disease.
Files
bmcite30k_adt_scaled.csv
Files
(8.7 GB)
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md5:96b99c470d92daf5c15a6b7fccb3a0f3
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14.2 MB | Download |
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md5:f670080e1c640268769fb723aedb5acb
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15.9 MB | Download |
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md5:ac2bac9b7cd38dc86be6179040582059
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14.8 MB | Preview Download |
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md5:ba7e448d0ef7fe8d97d9956e1154ae4d
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155.4 MB | Download |
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md5:1a0cec25226f78f538c777405827f16e
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222.1 MB | Download |
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md5:2414685c0b0d45813afcac40e24b3af2
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1.2 GB | Preview Download |
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md5:5b44f15519f19116aae0db47ec934b9e
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2.0 MB | Download |
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md5:f680e59ad4f0ec8a2e4562d9e2316b37
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2.3 MB | Download |
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md5:3e7785b9ca52536456a9f6b8ad24fedb
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1.7 MB | Preview Download |
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md5:a5b60391b6470b8997838f18f5c5b86f
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41.5 MB | Download |
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md5:a2b1058e98fe94fddf688286ce808dd4
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60.5 MB | Download |
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md5:f5f7bf5d517c8a145e99a96e4651ce9d
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331.4 MB | Preview Download |
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md5:d62a31b47a71bd0429ec5f40fe3ee6f4
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84.5 MB | Preview Download |
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md5:a6cce93451b80bd3a4816e24f19de8d0
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84.5 MB | Preview Download |
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md5:15f65781f6b32d61101f1dd496206903
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2.1 GB | Preview Download |
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md5:56a3d2d8b3b014b5485cd04d8bd6dee0
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2.0 GB | Preview Download |
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md5:ca0a4b874e0c1d83fcec4787fc5e5caa
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2.9 MB | Download |
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md5:2a6a8632b79c4a40b02d0682f8d8f689
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3.3 MB | Download |
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md5:cc69f174903c4b1f7d3d442d415399b1
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2.8 MB | Preview Download |
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md5:f9bed98781c80706655e682e40416469
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53.2 MB | Download |
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md5:1b7554c9da3f9b971d88116ef9559da3
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79.8 MB | Download |
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md5:e988b5e26b6933549dd2a138338ac6d8
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324.2 MB | Preview Download |
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md5:209fa216855157f7e4721469afb84e9c
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1.7 GB | Preview Download |
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md5:32a742c27050cd0bf6dafeae966713a6
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265.9 MB | Preview Download |