10X

🧬 Dissect sctransform()
🧬 Dissect sctransform()

sctransfrom is highly recommened in spatial genomic analysis, and was first introduced to analyze scRNAseq. Here, we deciper it and reveal what it is really doing mathmatically to have a sense of its applicability.

May 27, 2025

🧬 A snakemake pipline-- quantify hERV, transgenes and genomics from 10x scRNAseq
🧬 A snakemake pipline-- quantify hERV, transgenes and genomics from 10x scRNAseq

A snakemake pipline to quantify hERV, transgenes and genomics from 10x single-cell RNAseq data

May 27, 2025

🧬 EM algorithm, EM with max a posterior, full Bayesian inferences (variational Bayesian) used in auto-coder
🧬 EM algorithm, EM with max a posterior, full Bayesian inferences (variational Bayesian) used in auto-coder

EM algorithm, EM with max a posterior, full Bayesian inferences (variational Bayesian) which might be used in auto-coder

Apr 12, 2025

🧬 Smooth tests of goodness of Fit used in Stijn Hawinkel ’s plos one paper
🧬 Smooth tests of goodness of Fit used in Stijn Hawinkel ’s plos one paper

Smooth tests of goodness of Fit used in Stijn Hawinkel ’s plos one paper

Apr 10, 2025

🧬 how good is negative binomial, why AI works for biology
🧬 how good is negative binomial, why AI works for biology

how good is negative binomial

Apr 9, 2025

🧬 Seurat to analysis large sample size of bulk RNAseq. Discuss Wixcox is better for clinical samples
🧬 Seurat to analysis large sample size of bulk RNAseq. Discuss Wixcox is better for clinical samples

Seurat to analysis large sample size of bulk RNAseq. Discuss Wixcox is better for clinical samples

Apr 8, 2025

🧬 Spatial genomics presentation
🧬 Spatial genomics presentation

What we can get from Spatial genomics is most meaningful? how to present?

Apr 7, 2025

🧬 Deep Neural Network to integrate scRNAseq and spatial genomics
🧬 Deep Neural Network to integrate scRNAseq and spatial genomics

What we can get from Spatial genomics is most meaningful? how to present?

Apr 7, 2025

🧬 Bayesian abundance statistics in PRCC
🧬 Bayesian abundance statistics in PRCC

One sample abundance statistics, bayesian vs frequentist

Apr 6, 2025

🧬 Train a high-performance Yolov8 (CNN) model for histological analysis: data augmentation and combating overfitting by Active Learning
🧬 Train a high-performance Yolov8 (CNN) model for histological analysis: data augmentation and combating overfitting by Active Learning

Yolov8, a deep learning tool to

Apr 5, 2025