Author

Ninib Baryawno

Harvard UniversityORCID 0000-0001-6054-4163Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

David T. ScaddeniD· 2 shared Jimin GuoiD· 2 shared Andrea LampisiD· 1 shared Audrey Sporrij· 1 shared Barbara Martins Da CostaiD· 1 shared Duncan Roberts· 1 shared Edroaldo Lummertz da RochaiD· 1 shared Elizabeth R. TuckeriD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersDevelopmental Biology

David T. ScaddenORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintSep 2, 2026

A COJEC-chemotherapy resistant model of Th-ALK(F1174L)/MYCN neuroblastoma offers insights into tumour immune evasion and development of the bone marrow metastatic niche

Elizabeth R. Tucker, Andrea Lampis, Jacob Househam…·Louis Chesler

This study develops a neuroblastoma mouse model to investigate chemotherapy resistance and immune evasion mechanisms, identifying CDK8 upregulation and immune cell infiltration as key factors.

DOI 10.64898/2026.09.01.743331

mousebulk RNA-seq

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Developmental BiologyeLifePeer-reviewedNov 17, 2021

Niche signals regulate continuous transcriptional states in hematopoietic stem cells

Eva Maria Fast, Audrey Sporrij, Margot E. Manning…·Leonard Ira Zon

The paper identifies six HSC states and shows niche perturbations induce rapid transitions between them, revealing HSC-specific molecular signatures and chromatin features related to regenerative potential.

30 citations

mousescRNA-seq

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GenomicsGenome biologyPeer-reviewedJun 19, 2018

Accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments

Viktor Petukhov, Jimin Guo, Ninib Baryawno…·Peter V. Kharchenko

The paper introduces a pipeline for processing droplet-based single-cell RNA-seq data to improve molecular count estimation by correcting barcode biases and sequencing errors.

176 citationstop 2%

scRNA-seqstatistical model

𝕏 PostBluesky