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DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.
In Journal of cheminformatics
Thafar Maha A, Olayan Rawan S, Ashoor Haitham, Albaradei Somayah, Bajic Vladimir B, Gao Xin, Gojobori Takashi, Essack Magbubah
2020-Jun-29
Bioinformatics, Cheminformatics, Drug repositioning, Drug–target interaction, Graph embedding, Heterogenous network, Machine learning, Similarity integration, Similarity-based

Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review.
In Brain sciences
BACKGROUND :
OBJECTIVES :
METHODS :
RESULTS :
SIGNIFICANCE :
Alzahab Nibras Abo, Apollonio Luca, Di Iorio Angelo, Alshalak Muaaz, Iarlori Sabrina, Ferracuti Francesco, Monteriù Andrea, Porcaro Camillo
2021-Jan-08
Brain-Computer Interface (BCI), Electroencephalography (EEG), Hybrid Deep Learning, Neural Networks, review, survey

Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images.
In Signal, image and video processing
Kc Kamal, Yin Zhendong, Wu Mingyang, Wu Zhilu
2021-Jan-07
COVID-19, Chest X-ray, Deep convolution neural network, SARS, Transfer learning

spyrmsd: symmetry-corrected RMSD calculations in Python.
In Journal of cheminformatics
Meli Rocco, Biggin Philip C
2020-Aug-31
Python, RMSD, Software, Symmetry

A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions.
In Journal of cheminformatics
Jarada Tamer N, Rokne Jon G, Alhajj Reda
2020-Jul-22
Computational drug repositioning, Data mining, Drug repositioning strategies, Machine learning, Network analysis

Predicting liver cytosol stability of small molecules.
In Journal of cheminformatics
Shah Pranav, Siramshetty Vishal B, Zakharov Alexey V, Southall Noel T, Xu Xin, Nguyen Dac-Trung
2020-Apr-07
Cytosol stability, Machine learning, Matched molecular pairs, Qualitative-structure activity relationship, Xenobiotic metabolism
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