About
Titles
Assistant Professor
Appointments
Electrical Engineering
Assistant ProfessorPrimary
Other Departments & Organizations
- Electrical Engineering
- Kluger Lab
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Boris Landa's published research.
Yuval Kluger, PhD
Ronald Coifman, PhD
Esen Sefik
Ian Odell, MD, PhD, FAAD
Peggy Myung, MD, PhD
Richard Flavell, PhD, FRS
Publications
2025
The Dyson equalizer: adaptive noise stabilization for low-rank signal detection and recovery
Landa B, Kluger Y. The Dyson equalizer: adaptive noise stabilization for low-rank signal detection and recovery. Information And Inference A Journal Of The IMA 2025, 14: iaae036. PMID: 39830802, PMCID: PMC11735832, DOI: 10.1093/imaiai/iaae036.Peer-Reviewed Original ResearchConceptsNoise varianceLow-rank signalData matrixNoisy data matrixSignal detectionImproved signal recoverySignal recoveryMP lawNoise distributionRandom matrix theory resultsSignal structureData-drivenSingular valuesNoiseDataTaskNoise characteristicsNoise levelNoise stabilitySingle-cell RNA sequencingDetectionSpatial transcriptomics dataTranscriptome dataNormalization procedureMatrix
2024
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
Cheng X, Landa B. Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise. Information And Inference A Journal Of The IMA 2024, 13: iaae026. PMID: 39309272, PMCID: PMC11415053, DOI: 10.1093/imaiai/iaae026.Peer-Reviewed Original ResearchConceptsMatrix scaling problemSinkhorn-KnoppGraph Laplacian operatorGraph-based data analysisManifold dataText]-dimensionalLog factorLaplacian operatorInner productHigh-dimensional spaceConvergence rateGraph LaplacianNumerical experimentsAlternative normalizationNoise vectorGraphApproximate onesOutlier noiseTheoretical resultsConsistency rateData vectorsSK-iterationsKernel bandwidthConvergenceScale problemsGene trajectory inference for single-cell data by optimal transport metrics
Qu R, Cheng X, Sefik E, Stanley III J, Landa B, Strino F, Platt S, Garritano J, Odell I, Coifman R, Flavell R, Myung P, Kluger Y. Gene trajectory inference for single-cell data by optimal transport metrics. Nature Biotechnology 2024, 43: 258-268. PMID: 38580861, PMCID: PMC11452571, DOI: 10.1038/s41587-024-02186-3.Peer-Reviewed Original ResearchConceptsGene dynamicsGene programTrajectory inferenceBiological processesCell-cell graphDynamics of genesCell trajectory inferenceSingle-cell RNA sequencingSingle-cell dataCell state transitionsMyeloid lineage maturationDynamics of biological processesGene distributionRNA sequencingPseudotemporal orderingGene processingTrajectories of cellsGenesActivity of biological processesTechnical noiseGroups of cellsLineage maturationCellsConstruct cellsSequence
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