Ghulam Murtaza

Biochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “A Comprehensive Evaluation of Generalizability of Deep Learning-Based Hi-C Resolution Improvement Methods”.

A Comprehensive Evaluation of Generalizability of Deep Learning-Based Hi-C Resolution Improvement Methods

Genes(2023)10.3390/genes15010054

N/A

0.312DataRank · unranked

5 citations

Atishay Jain, Madeline Hughes, Justin Wagner, Ritambhara Singh, Ghulam Murtaza

GrapHiC: An integrative graph based approach for imputing missing Hi-C reads

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.19.512942

N/A

0DataRank · unranked

1 citations

Justin Wagner, Justin M. Zook, Ritambhara Singh, Ghulam Murtaza

scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression

Bioinformatics(2024)10.1093/bioinformatics/btae223

N/A

0DataRank · unranked

5 citations

Byron Butaney, Justin Wagner, Ritambhara Singh, Ghulam Murtaza