Author

Shan Jiang

Shanghai Jiao Tong UniversityORCID 0000-0003-1015-1278Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Shan Jiang7 papers · Boston Children's Hospital

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Ali MortazaviiD· 1 shared Andrea J. TenneriD· 1 shared Barbara J. WoldiD· 1 shared Brian A. WilliamsiD· 1 shared Dana WymaniD· 1 shared Diane E. TroutiD· 1 shared Dina P. MatheosiD· 1 shared Fairlie ReeseiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Ali MortazaviORCID

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3 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 18, 2021

TIPS: Trajectory Inference of Pathway Significance through Pseudotime Comparison for Functional Assessment of single-cell RNAseq Data

Zihan Zheng, X. Qiu, Haiyang Wu…·Qingshan Ni

TIPS assesses pathway and transcription factor contributions to developmental trajectories in scRNAseq data through pseudotime comparison and provides visualization tools.

15 citations

scRNA-seqstatistical model

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GenomicsbioRxivPreprintMar 24, 2020

✦ In-depth digest

A technology-agnostic long-read analysis pipeline for transcriptome discovery and quantification

Dana Wyman, Gabriela Balderrama-Gutierrez, Fairlie Reese…·Ali Mortazavi

TALON annotates and counts full-length reads from PacBio or Nanopore in one framework; in mouse brain, 422 genes showed more novel-isoform reads than annotated ones.

162 citations

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Systems BiologybioRxivPreprintJan 14, 2020

Analysis of gene expression and connectivity on hippocampus of Alzheimer's disease by a new comprehensive approach

The paper develops a method to analyze gene expression and connectivity in Alzheimer's disease hippocampus data, finding heterogeneous gene changes but consistent pathway patterns across datasets.

DOI 10.1101/2020.01.14.906446

humanbulk RNA-seq

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