Browse by CSHL Author

Thompson, Mike, Martín, Mariano, Olmo, Trinidad Sanmartín, Rajesh, Chandana, Koo, Peter K, Bolognesi, Benedetta, Lehner, Ben (May 2025) Massive experimental quantification allows interpretable deep learning of protein aggregation. Science Advances, 11 (18). eadt5111. ISSN 2375-2548 (Public Dataset)

Majdandzic, Antonio, Rajesh, Chandana, Koo, Peter K (May 2023) Correcting gradient-based interpretations of deep neural networks for genomics. Genome Biology, 24 (1). p. 109. ISSN 1474-760X

Karakida Kawaguchi, Risa, Tang, Ziqi, Fischer, Stephan, Rajesh, Chandana, Tripathy, Rohit, Koo, Peter K, Gillis, Jesse (December 2022) Learning single-cell chromatin accessibility profiles using meta-analytic marker genes. Briefings in Bioinformatics. bbac541. ISSN 1467-5463

Majdandzic, Antonio, Rajesh, Chandana, Tang, Amber, Toneyan, Shushan, Labelson, Ethan, Tripathy, Rohit, Koo, Peter K (November 2022) Selecting deep neural networks that yield consistent attribution-based interpretations for genomics. Proc Mach Learn Res, 200. pp. 131-149. ISSN 2640-3498