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5 matching publication(s)

Publication	Journal	Year	Score	Verdict
Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data? PMID 41627342	Brief Bioinform	2026	89	L1 89/100
Single-Cell Hi-C Technologies and Computational Data Analysis. PMID 39887949	Adv Sci (Weinh)	2025	80	L1 80/100
SGCP: a spectral self-learning method for clustering genes in co-expression networks. ⚑ PMID 38956463	BMC Bioinformatics	2024	51	L1 51/100 ⚑
MZPAQ: a FASTQ data compression tool. PMID 31171931	Source Code Biol Med	2019	58	L1 58/100
SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis. PMID 30698691	Gigascience	2019	82	L1 82/100

Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

PMID 41627342 · Brief Bioinform · 2026

L1 89/100

Single-Cell Hi-C Technologies and Computational Data Analysis.

PMID 39887949 · Adv Sci (Weinh) · 2025

L1 80/100

SGCP: a spectral self-learning method for clustering genes in co-expression networks.⚑

PMID 38956463 · BMC Bioinformatics · 2024

L1 51/100 ⚑

MZPAQ: a FASTQ data compression tool.

PMID 31171931 · Source Code Biol Med · 2019

L1 58/100

SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis.

PMID 30698691 · Gigascience · 2019

L1 82/100