Author

Sandeep S. Raj

Memorial Sloan Kettering Cancer CenterORCID 0000-0003-4629-0528Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Research Focus:differential expression· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anqi DaiiD· 3 shared Jonathan U. PelediD· 3 shared Marcel R.M. van den BrinkiD· 3 shared Mirae BaichooiD· 3 shared Nicholas R. WatersiD· 3 shared Teng FeiiD· 3 shared Tyler FunnelliD· 3 shared Ana GradíssimoiD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Anqi DaiORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

MicrobiologyNaturePeer-reviewedSep 30, 2026

Sugar-rich foods exacerbate antibiotic-induced microbiome injury

Anqi Dai, Annamaria Ballweg, William Jogia…·Jonathan U. Peled

The paper links sugar-rich foods to microbiome disruption during antibiotic treatment in patients and mice.

8 citationstop 2%

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 17, 2025

Correlating High-dimensional longitudinal microbial features with time-varying outcomes with FLORAL

Teng Fei, Victoria Donovan, Tyler Funnell…·Jonathan U. Peled

The paper introduces FLORAL, a method for analyzing longitudinal microbiome data to identify biomarkers associated with time-varying outcomes, showing improved sensitivity and FDR control in simulations and real-world applications.

1 citation

humanmetagenomics

𝕏 PostBluesky

Cancer BiologyBloodPeer-reviewedJan 27, 2025

Integrative genomic analysis identifies unique immune environments associated with immunotherapy response in diffuse large B cell lymphoma

Sravya Tumuluru, James K. Godfrey, Alan B Cooper…·Justin Paul Kline

This study identifies unique immune environments in DLBCL associated with response to immunotherapy using an integrative multi-omic approach.

35 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsCell Reports MethodsPeer-reviewedNov 1, 2024

Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression

Teng Fei, Tyler Funnell, Nicholas R. Waters…·Marcel R.M. van den Brink

FLORAL improves microbial feature selection for microbiome data by addressing survival endpoints, longitudinal samples, and sequencing biases, showing better false-positive control and sensitivity in simulations and real data.

17 citationstop 3%

metagenomicsstatistical model

𝕏 PostBluesky