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  • Language
    Python
  • Created over 3 years ago
  • Updated over 3 years ago

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Repository Details

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1

GraphCDR

GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
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lncRNA-protein-interaction-prediction

The source codes for our paper submitted to Neurocomputing in 2017. We propose a linear label propagation method (LPLNP method) to predict unknown lncRNA-protein interactions. In this repository, you can find our dataset and code of individual LPLNP, intergrated LPLNP models, and other state-of-the-art methods. Please follow the Guideline.pdf.
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3

Disease-Mesh-Similarity

For each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges represent the relationship between the current node and its ancestors. Then compare the DAG Similarity.
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TDRC

tensor decomposition, python
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NEMII

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6

PHIAF

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7

SCMFDD

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8

SLNPM

LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination
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9

SFLLN

The source code for our paper "SFLLN: a sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions". In this repository, you can find our dataset "feature matrix.xls", "interaction matrix.txt" and source code "SFLLN.py". Please follow the "Readme.txt" for more details.
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10

relationGCN

ๆœ€ๅŸบ็ก€็š„gcnๅฎž็Žฐๅ•ๅ…ณ่”้ข„ๆต‹
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3
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11

PredLnc-GFStack

PredLnc-GFStack: a Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts
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12

BDSILP

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13

ItLnc-BXE

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14

LncPred-IEL

LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning
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15

sRNA-prediction

Code and dataset for "Sequence-based bacterial small RNAs prediction using ensemble learning strategies" Please kindly cite the paper if you use the code or the datasets.
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16

CD-LNLP

Datasets and Code for "Predicting CircRNA-disease Associations through Linear Neighborhood Label Propagation Method"
Python
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17

drug-drug-interaction

The source code for the paper "Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data",Zhang et al. BMC Bioinformatics (2017) 18:18.
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18

piRNAPredictor

The source code for the paper "A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs",Zhang et al. (2016) 17: 329. doi:10.1186/s12859-016-1206-3
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1
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19

EPIHC

EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning
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20

DeepiRNA

data and source codes for paper "DeepiRNA: Predicting transposon-derived piRNAs with deep learning"
Python
1
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