most citedAdvances in Machine Learning, Statistical Methods, and AI for Single-Cell RNA Annotation Using Raw Count Matrices in scRNA-seq Data

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.OT2024★ 1 cited

Advances in Machine Learning, Statistical Methods, and AI for Single-Cell RNA Annotation Using Raw Count Matrices in scRNA-seq Data

Megha Patel, Nimish Magre, Himanshi Motwani +1

Single-cell RNA sequencing (scRNA-seq) has revolutionized our ability to analyze gene expression at the resolution of individual cells, providing unprecedented insights into cellul…

cs.CV2022★ 1 cited

DC-Art-GAN: Stable Procedural Content Generation using DC-GANs for Digital Art

Rohit Gandikota, Nik Bear Brown

Art is an artistic method of using digital technologies as a part of the generative or creative process. With the advent of digital currency and NFTs (Non-Fungible Token), the dema…