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TIS Transformer: remapping the human proteome using deep learning.
In NAR genomics and bioinformatics
Clauwaert Jim, McVey Zahra, Gupta Ramneek, Menschaert Gerben
2023-Mar

Machine learning reveals STAT motifs as predictors for GR-mediated gene repression.
In Computational and structural biotechnology journal
Höllbacher Barbara, Strickland Benjamin, Greulich Franziska, Uhlenhaut N Henriette, Heinig Matthias
2023
ChIPseq, ChIPseq, chromatin immunoprecipitation sequencing, Epigenomics, Glucocorticoid receptor, Machine-learning, RNAseq, Repression, STAT, STAT, signal transducer and activator of transcription
AI-DrugNet: A network-based deep learning model for drug repurposing and combination therapy in neurological disorders.
In Computational and structural biotechnology journal
Pan Xingxin, Yun Jun, Coban Akdemir Zeynep H, Jiang Xiaoqian, Wu Erxi, Huang Jason H, Sahni Nidhi, Yi S Stephen
2023
Deep learning, Drug combination therapy, Drug repurposing, Network model, Neurological and developmental disorders

Interpretation of lung disease classification with light attention connected module.
In Biomedical signal processing and control
Choi Youngjin, Lee Hongchul
2023-Jul
Attention, ECA-Net, Grad-CAM, Lung disease, Respiratory sound, eXplainable AI
Machine learning prediction for COVID-19 disease severity at hospital admission.
In BMC medical informatics and decision making ; h5-index 38.0
IMPORTANCE :
OBJECTIVE :
DESIGN, SETTING, AND PARTICIPANTS :
MAIN OUTCOMES AND MEASURES :
RESULTS :
CONCLUSIONS AND RELEVANCE :
Raman Ganesh, Ashraf Bilal, Demir Yusuf Kemal, Kershaw Corey D, Cheruku Sreekanth, Atis Murat, Atis Ahsen, Atar Mustafa, Chen Weina, Ibrahim Ibrahim, Bat Taha, Mete Mutlu
2023-Mar-07
COVID-19, Classification, Laboratory markers, Machine learning, Prediction, SARS-CoV-2, Scoring
Machine learning prediction for COVID-19 disease severity at hospital admission.
In BMC medical informatics and decision making ; h5-index 38.0
IMPORTANCE :
OBJECTIVE :
DESIGN, SETTING, AND PARTICIPANTS :
MAIN OUTCOMES AND MEASURES :
RESULTS :
CONCLUSIONS AND RELEVANCE :
Raman Ganesh, Ashraf Bilal, Demir Yusuf Kemal, Kershaw Corey D, Cheruku Sreekanth, Atis Murat, Atis Ahsen, Atar Mustafa, Chen Weina, Ibrahim Ibrahim, Bat Taha, Mete Mutlu
2023-Mar-07
COVID-19, Classification, Laboratory markers, Machine learning, Prediction, SARS-CoV-2, Scoring
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