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zorrodong's Projects

nnlm icon nnlm

Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).

nomeseq icon nomeseq

The pipeline for NORM-Seq in tangfuchou lab for Epigenetic analysis.

northstar icon northstar

Cell type annotation guided by cell atlases, with freedom to be queer

paga icon paga

Mapping topologies of complex manifolds.

palimpsest icon palimpsest

An R package for studying mutational and structural variant signatures along clonal evolution in cancer.

pcreode icon pcreode

An algorithm for mapping cell state transitions.

pdx_exomeseq icon pdx_exomeseq

Pipeline analysis for whole exome sequencing of pancreatic cancer PDX models

peco icon peco

Predict cell cycle phase in a continuum in single-cell RNA-seq data analysis

perturbseq_gi icon perturbseq_gi

Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"

phemd icon phemd

Package for comparing single-cell samples

phenograph icon phenograph

Subpopulation detection in high-dimensional single-cell data

pipeliner icon pipeliner

A flexible Nextflow-based framework for the definition of sequencing data processing pipelines

plate_scatac-seq icon plate_scatac-seq

A rapid and robust plate-based single cell ATAC-seq (scATAC-seq) method

poincaremaps icon poincaremaps

The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.

primate_cerebral_organoids icon primate_cerebral_organoids

Scripts and functions achieve for the paper "Single-cell genomic atlas of great ape cerebral organoids uncovers human-specific features of brain development" (https://www.biorxiv.org/content/10.1101/685057v1)

propagate icon propagate

:exclamation: This is a read-only mirror of the CRAN R package repository. propagate — Propagation of Uncertainty

propr icon propr

An R package to calculate proportionality between vectors of compositional data

prosstt icon prosstt

PRObabilistic Simulations of ScRNA-seq Tree-like Topologies

psite icon psite

Simulate next-generation sequencing reads for tumor samples

pyscenic icon pyscenic

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

quack icon quack

Machine learning algorithm to predict biological pathway relationships based on functional genomics networks

r-style-guide icon r-style-guide

Best practices for readable, sharable, and verifiable R code

raceid3_stemid2_package icon raceid3_stemid2_package

Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data. This is a novel R package of the RaceID3 and StemID2 method including novel functionalities and performance improvements compared to the previous RaceID3/StemID2 version in the RaceID3_StemID2 repository. The RaceID3_StemID2 repository will not be updated anymore in the future.

ragoo icon ragoo

Fast Reference-Guided Scaffolding of Genome Assembly Contigs

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