Method for identifying clusters of fluorescence-activated cell sorting data points

US9552416B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9552416-B2
Application numberUS-201313886932-A
CountryUS
Kind codeB2
Filing dateMay 3, 2013
Priority dateApr 25, 2003
Publication dateJan 24, 2017
Grant dateJan 24, 2017

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Abstract

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A method and/or system for analyzing data using population clustering through density based merging.

First claim

Opening claim text (preview).

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 )

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Classifications

  • 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

  • G06F16/35Primary

    Clustering; Classification · CPC title

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What does patent US9552416B2 cover?
A method and/or system for analyzing data using population clustering through density based merging.
Who is the assignee on this patent?
Univ Leland Stanford Junior
What technology area does this patent fall under?
Primary CPC classification G06F17/3071. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 24 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).