2024
Generating Function Methods for Run and Scan Statistics
Kong Y. Generating Function Methods for Run and Scan Statistics. 2024, 205-223. DOI: 10.1007/978-1-4614-8033-4_56.Peer-Reviewed Original ResearchFinite Markov chain imbedding approachMarkov chain imbedding approachNearest-neighbor interactionsImbedding approachGenerating functionCombinatorial difficultiesMulti-objective systemCombinatorial methodsCombinatorial complexityStatistical physicsMultiple objectivesNeighbor interactionsPattern statisticsFunction methodResults of distributionIndependent stepsInteraction of elementsFormulaObjectiveFunction
2007
Generalized Correlation Functions and Their Applications in Selection of Optimal Multiple Spaced Seeds for Homology Search
Kong Y. Generalized Correlation Functions and Their Applications in Selection of Optimal Multiple Spaced Seeds for Homology Search. Journal Of Computational Biology 2007, 14: 238-254. PMID: 17456017, DOI: 10.1089/cmb.2006.0008.Peer-Reviewed Original ResearchConceptsGeneralized correlation functionCorrelation functionsHigher order approximationsGoulden–Jackson cluster methodHeuristic search methodsOrder approximationProbability qAverage propertiesSearch methodCluster methodLarge genomic dataProbability of occurrenceTheoretical backgroundMultiple seedsSpaced seedsPowerful methodOptimal seedApproximationEmpirical observationsNumber of wildcardsSet of patternsProbabilityProblemFunctionMatrix
2001
A Simple Method for Evaluating Partition Functions of Linear Polymers
Kong Y. A Simple Method for Evaluating Partition Functions of Linear Polymers. The Journal Of Physical Chemistry B 2001, 105: 10111-10114. DOI: 10.1021/jp011758n.Peer-Reviewed Original Research
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