Apparatus and methods for managing content
US-9223783-B2 · Dec 29, 2015 · US
US9552416B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9552416-B2 |
| Application number | US-201313886932-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 3, 2013 |
| Priority date | Apr 25, 2003 |
| Publication date | Jan 24, 2017 |
| Grant date | Jan 24, 2017 |
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A method and/or system for analyzing data using population clustering through density based merging.
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What is claimed: 1. A method executed by a computer processor for identifying clusters of fluorescence-activated cell sorting (FACS) data points associated with one or more light intensity values measured for a particular cell, a group of cells, a sample of cells or a combination thereof comprising: (A) constructing a normalized lattice L in d dimensions, wherein said lattice has an equal number of intervals in all directions and consists of M intervals in each direction, where M is a positive integer that defines Md lattice points, by (i) setting size of a d dimensional unit area or volume to be Δ j in accordance with the formula Δ j =(max i x ij −min i x ij )/(M−1), j=1, . . . , d, (ii) defining jth coordinate of lattice points y (m1, . . . ,md) to be y mj =min i x ij +(m j −1)Δ j , mj=1, . . . , M, and (iii) defining lattice L as L={y (m1, . . . ,md) :(m 1 , . . . , m d )∈{1, . . . , M} d ; (B) calculating weights for said lattice points using one or more of said data points according to a weighting rule in accordance with formula: w m = ∑ i = 1 n ∏ j = 1 d max ( 0 , 1 - x i , j - y mj / Δ j ) , where w m is weight, y m is each lattice point and x i is one or more observed data points; (C) determining a density at said lattice points relating a weight at a lattice point to weights at nearby lattice points using a density function, wherein determining the density includes computing an estimate of a density surface {circumflex over (f)}(y m ) wherein the Gaussian kernel is denoted by φ(b)=1/√{square root over (2)}πexp(−b 2 /2) and the estimated density y m is computed by formula: f ^ ( y m ) = 1 / n ∑ l 1 = - Z 1 Z 1 … ∑ l d = - Z d Z d ω m - 1 ∏ j = 1 d ϕ ( l j Δ j / h j )
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks · CPC title
Clustering; Classification · CPC title
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