Ngā hua rapu - GREENE, CASEY

Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics mā Hu, Qiwen, Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Incorporating biological structure into machine learning models in biomedicine mā Crawford, Jake, Greene, Casey S

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

PILGRM: an interactive data-driven discovery platform for expert biologists mā Greene, Casey S., Troyanskaya, Olga G.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Chapter 2: Data-Driven View of Disease Biology mā Greene, Casey S., Troyanskaya, Olga G.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Pathway and network-based strategies to translate genetic discoveries into effective therapies mā Greene, Casey S., Voight, Benjamin F.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders mā Way, Gregory P., Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

A parasite's perspective on data sharing mā Park, YoSon, Greene, Casey S

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Constructing knowledge graphs and their biomedical applications mā Nicholson, David N., Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Expanding and Remixing the Metadata Landscape mā Hippen, Ariel A., Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

APPLICATIONS OF BIOINFORMATICS TO NON-CODING RNAS IN THE ERA OF NEXT-GENERATION SEQUENCING mā CHENG, CHAO, MOORE, JASON, GREENE, CASEY

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Reproducibility of computational workflows is automated using continuous analysis mā Beaulieu-Jones, Brett K., Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Evolving hard problems: Generating human genetics datasets with a complex etiology mā Himmelstein, Daniel S, Greene, Casey S, Moore, Jason H

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Machine Learning Analysis Identifies Drosophila Grunge/Atrophin as an Important Learning and Memory Gene Required for Memory Retention and Social Learning mā Kacsoh, Balint Z., Greene, Casey S., Bosco, Giovanni

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Specific histone modifications associate with alternative exon selection during mammalian development mā Hu, Qiwen, Greene, Casey S, Heller, Elizabeth A

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Dietary Supplements and Nutraceuticals Under Investigation for COVID-19 Prevention and Treatment mā Lordan, Ronan, Rando, Halie M., Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Dietary Supplements and Nutraceuticals under Investigation for COVID-19 Prevention and Treatment mā Lordan, Ronan, Rando, Halie M., Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic Programming mā Greene, Casey S., White, Bill C., Moore, Jason H.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivity mā Penrod, Nadia M, Greene, Casey S, Moore, Jason H

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS mā TAN, JIE, UNG, MATTHEW, CHENG, CHAO, GREENE, CASEY S

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa

Widespread redundancy in -omics profiles of cancer mutation states mā Crawford, Jake, Christensen, Brock C., Chikina, Maria, Greene, Casey S.

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa