Optimizing multi-omics data imputation with NMF and GAN synergy

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2024-11-01
DOI
https://doi.org/10.1093/bioinformatics/btae674
Citations
11
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
2.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing multi-omics data imputation with NMF and GAN synergy

Md. Istiaq Ansari, Khandakar Tanvir Ahmed, Wei Zhang
11 citations
Bioinformatics
Gene expression and cancer classification
2.57
article

Optimizing multi-omics data imputation with NMF and GAN synergy

Md. Istiaq Ansari, Khandakar Tanvir Ahmed, Wei Zhang
article en
11 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(11)
University of Central Florida (US)
National Science Foundation, National Human Genome Research Institute, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 10%
Gene expression and cancer classification
2.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing multi-omics data imputation with NMF and GAN synergy — Md. Istiaq Ansari, Khandakar Tanvir Ahmed, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS