Boris Landa
Assistant ProfessorCards
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Research
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 ResearchNoise 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 ResearchMatrix 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 ResearchGene 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
2022
Spatiotemporally heterogeneous coordination of cholinergic and neocortical activity
Lohani S, Moberly A, Benisty H, Landa B, Jing M, Li Y, Higley M, Cardin J. Spatiotemporally heterogeneous coordination of cholinergic and neocortical activity. Nature Neuroscience 2022, 25: 1706-1713. PMID: 36443609, PMCID: PMC10661869, DOI: 10.1038/s41593-022-01202-6.Peer-Reviewed Original ResearchConceptsCortical network activityBehavioral statesCholinergic modulationAnimal's behavioral stateCholinergic signalingAwake miceCortical functionFunctional reorganizationNeuromodulatory influencesDifferent motor behaviorsNeocortical activityAcetylcholineMotor behaviorCortical networksRecent evidenceBrain activityFunctional segregationNeocortexMesoscopic imagingHeterogeneous signalsNetwork activityBehavioral markersBehavioral variablesCircuit dynamicsCholinergic
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