Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D8120A9F3E2C150E9D7529370A551324
PackageArch	x86_64
PackageDescription	Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) <doi:10.1016/j.bdq.2018.08.001>) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
PackageName	R-PCRedux
PackageRelease	lp154.10.1
PackageVersion	1.1
SHA-1	758E00D96BD00B6C60DD01DA15629E21FBA35C4A
SHA-256	5FE58842C0BB70685411242157EAD3664C89A8D8B5B8FC57BB14D18F01D67BF7

Key	Value
MD5	F4D0A49BC7CD40E9E1AB2051524896C7
PackageArch	x86_64
PackageDescription	Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) <doi:10.1016/j.bdq.2018.08.001>) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
PackageName	R-PCRedux
PackageRelease	lp153.10.1
PackageVersion	1.1
SHA-1	00EE2B75E9B2A08F3CAAB8D292AF495DB08FF927
SHA-256	2312A55EE5F7E8D809A93EF6BE43B9B71111EB57FB9156E22E6AB74EE09BA9C9

Key	Value
MD5	D4889087272B3E599B03D352145CE37B
PackageArch	x86_64
PackageDescription	Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) <doi:10.1016/j.bdq.2018.08.001>) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
PackageName	R-PCRedux
PackageRelease	10.1
PackageVersion	1.1
SHA-1	9AAA08B74A731E33ED55EB42D599D7D8A00DACA4
SHA-256	1E2896D8AB5EBF0E168255758CEE283EC0B91A92DE7E87FE21C8C3F58A490CF5

Key	Value
MD5	454D581C0B86738CCB4CD7ED5FDE5C2F
PackageArch	x86_64
PackageDescription	Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) <doi:10.1016/j.bdq.2018.08.001>) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
PackageName	R-PCRedux
PackageRelease	lp152.10.1
PackageVersion	1.1
SHA-1	C3EE5B04D017B804F6B6D82CC608AF4D50F99016
SHA-256	49A281969E6090F450D12A02EDDDAB3CBFB138EAB7364F6804F3C9083E6DEF21