Alexander S. Baras

发表

AI-MHC: an allele-integrated deep learning framework for improving Class I & Class II HLA-binding predictions

John-William Sidhom, Drew M. Pardoll, Alexander S. Baras, 2018, bioRxiv.

miRge 2.0 for comprehensive analysis of microRNA sequencing data

Alexander S. Baras, Yin Lu, Marc K. Halushka, 2018, BMC Bioinformatics.

Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data

Richard J. Chen, Faisal Mahmood, Nicholas J. Durr, 2019, Medical Imaging.

Creation of a Z-Stacked Digital Image Database From Fine-Needle Aspiration Specimens of Solid Lesions of the Pancreas

Alexander S. Baras, Daniel Miller, Nakul Shankar, 2019 .

Convolving Pre-Trained Convolutional Neural Networks at Various Magnifications to Extract Diagnostic Features for Digital Pathology

John-William Sidhom, Alexander S. Baras, 2018 .

DeepTCR: a deep learning framework for understanding T-cell receptor sequence signatures within complex T-cell repertoires

John-William Sidhom, Drew M. Pardoll, Alexander S. Baras, 2018 .

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Richard J. Chen, Faisal Mahmood, Nicholas J. Durr, 2018, IEEE Transactions on Medical Imaging.

miRge 2.0: An updated tool to comprehensively analyze microRNA sequencing data

Yin Lu, Alexander S. Baras, Marc K. Halushka, 2018, bioRxiv.

A benchmark for microRNA quantification algorithms using the OpenArray platform

Matthew N. McCall, Alexander S. Baras, Kenneth W. Witwer, 2016, BMC Bioinformatics.

Abstract 4444: Deep learning of the immune synapse

John-William Sidhom, Drew M. Pardoll, Alexander S. Baras, 2019 .

miRge - A Multiplexed Method of Processing Small RNA-Seq Data to Determine MicroRNA Entropy

Akhilesh Pandey, Alexander S. Baras, Marc K. Halushka, 2015, PloS one.