Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA

Based on the benchmark results, we propose general guidelines to choose the suitable methods based on sequencing depth of the cfDNA data and completeness of the reference atlas to maximize the performance of methylation-based cfDNA cell type deconvolution.

Authors

Institutions

Publication Details

Journal
Genome biology
Published
2024-12-19
DOI
https://doi.org/10.1186/s13059-024-03456-8
Citations
7
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
2.00

Funders

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

Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA

Jingyi Jessica Li, Jingqi Li, Susu Qu, Xinzhou Ge et al.
7 citations
Genome biology
Cancer Genomics and Diagnostics
2.00
article

Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA

Jingyi Jessica Li, Jingqi Li, Susu Qu, Xinzhou Ge, Wei Li, Yumei Li, Yacheng Zhu, Junpeng Zhou, Tongyue Sun, Jinqi Yuan, Yang Shen
article en
7 citations

Abstract

Based on the benchmark results, we propose general guidelines to choose the suitable methods based on sequencing depth of the cfDNA data and completeness of the reference atlas to maximize the performance of methylation-based cfDNA cell type deconvolution.

Genome biologyVol. 25(1)
Oregon State University (US), University of California, Los Angeles (US), University of California, Irvine (US), Soochow University (CN), Chinese Institute for Brain Research (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Soochow University
Openalex Percentile: Top 12%
Cancer Genomics and Diagnostics
2.00
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.

Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA — Jingyi Jessica Li, Jingqi Li, et al. · Genome biology (2024) | TGRS Research Map | TGRS