TrendBio

#37 · Epigenomics

Computational metrics quantify resistance, foreign-genotype cells and CpG methylation

2 preprints · 1 published
Items per day, last 8 weekstoday: 3

The dominant thread across these items is deriving defined quantitative readouts from sequencing-based cell or read data. BARMIX pairs barcoded GIST cell mixtures with a probabilistic model to quantify genotype-specific drug resistance in vitro and in vivo. Cellector detects rare foreign-genotype cells in scRNAseq data, applied to leukemia post-transplant residual disease and microchimerism. MPCI introduces a metric quantifying consistent methylated and unmethylated CpG blocks across WGBS reads, reported to outperform MHL and dMHL on cell-type and tissue comparisons. What is new in these items is explicit metric definition at the level of individual cells, genotypes, or sequencing reads. The set is heterogeneous: only MPCI addresses DNA methylation directly, and no item integrates multiple modalities within a single framework.

Published papers

Preprints

Topic history

DateRank
#37
#40
#27
#32
#29
#21
#17
#15
#10
#12
#27
#35
#31
#40
#3
#5
#7
#4
#4
#2
#2
#2
#1
#1
#1
#1
#7
#39
#38
#36
#33
#36
#36
#36

Sponsors