文件列表:

Features_selection (0, 2021-04-14)
Features_selection\Datasets (0, 2021-04-14)
Features_selection\Datasets\RNA (0, 2021-04-14)
Features_selection\Datasets\RNA\Label.txt (217, 2021-04-14)
Features_selection\Datasets\RNA\ath_lncRNA.fasta (85234, 2021-04-14)
Features_selection\generateFeatures.py (12524, 2021-04-14)
Features_selection\main.py (4312, 2021-04-14)
Features_selection\read.py (1386, 2021-04-14)
Features_selection\save.py (915, 2021-04-14)
Features_selection\selectedImportantFeatures.py (987, 2021-04-14)
data (0, 2021-04-14)
data\dataset_1 (0, 2021-04-14)
data\dataset_1\LPI.csv (123837, 2021-04-14)
data\dataset_1\lncRNA_Sequence.txt (2756963, 2021-04-14)
data\dataset_1\protein_Sequence.txt (37146, 2021-04-14)
data\dataset_2 (0, 2021-04-14)
data\dataset_2\LPI.csv (156329, 2021-04-14)
data\dataset_2\lncRNA_sequence.txt (1735383, 2021-04-14)
data\dataset_2\protein_sequence.txt (50551, 2021-04-14)
data\dataset_3 (0, 2021-04-14)
data\dataset_3\LPI.csv (67513, 2021-04-14)
data\dataset_3\LncRNA Sequence.txt (2866955, 2021-04-14)
data\dataset_3\Protein Sequence.txt (19766, 2021-04-14)
data\dataset_4 (0, 2021-04-14)
data\dataset_4\LPI.csv (15260, 2021-04-14)
data\dataset_4\athinteraction.txt (2108311, 2021-04-14)
data\dataset_5 (0, 2021-04-14)
data\dataset_5\LPI.csv (286272, 2021-04-14)
data\dataset_5\ZMAInteraction.txt (35138584, 2021-04-14)
deepGBDT (0, 2021-04-14)
deepGBDT\__init__.py (110, 2021-04-14)
deepGBDT\__pycache__ (0, 2021-04-14)
deepGBDT\__pycache__\__init__.cpython-36.pyc (269, 2021-04-14)
deepGBDT\__pycache__\deepgbdt.cpython-36.pyc (7132, 2021-04-14)
deepGBDT\__pycache__\loss.cpython-36.pyc (312, 2021-04-14)
deepGBDT\__pycache__\rna_pr_gbdt.cpython-36.pyc (1467, 2021-04-14)
deepGBDT\deepgbdt.py (8120, 2021-04-14)
deepGBDT\layer (0, 2021-04-14)
... ...

# LPI-deepGBDT ## Data Data is available at [NONCODE](http://www.noncode.org/), [NPInter](http://bigdata.ibp.ac.cn/npinter3/index.htm), and [PlncRNADB](http://bis.zju.edu.cn/PlncRNADB/). # Feature selection LncRNA feature: [PyFeat](https://github.com/mrzResearchArena/PyFeat) Protein feature: [Biotriangle](http://biotriangle.scbdd.com/protein/index/) # System Requirements The LPI-deepGBDT is supported on python 3.6 torch version=1.4.0 scikit-learn version=0.23.2 numpy version=1.17.4 pandas version=1.1.5 ## Dimension Reduction [PCA](https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html?highlight=pca#sklearn.decomposition.PCA) ## Run model ```python python example/example_CV1_2.py python example/example_CV3.py ```

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