Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq data von Vasighizaker, Akram, Danda, Saiteja, Rueda, Luis

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A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer von Vasighizaker, Akram, Sharma, Alok, Dehzangi, Abdollah

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C-PUGP: A cluster-based positive unlabeled learning method for disease gene prediction and prioritization von Vasighizaker, Akram, Jalili, Saeed

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SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication von Vasighizaker, Akram, Hora, Sheena, Zeng, Raymond, Rueda, Luis

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Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm von Naik, Musab, Rueda, Luis, Vasighizaker, Akram

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Cell Type Annotation Model Selection: General-Purpose vs. Pattern-Aware Feature Gene Selection in Single-Cell RNA-Seq Data von Vasighizaker, Akram, Trivedi, Yash, Rueda, Luis

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Comparative Analysis of Supervised Cell Type Detection in Single-Cell RNA-seq Data von Vasighizaker, Akram, Hora, Sheena, Trivedi, Yash, Rueda, Luis

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