elynx-markov-0.2.1: src/ELynx/Data/MarkovProcess/SubstitutionModel.hs
{- |
Module : ELynx.Data.MarkovProcess.SubstitutionModel
Description : Data type describing substitution model
Copyright : (c) Dominik Schrempf 2020
License : GPL-3.0-or-later
Maintainer : dominik.schrempf@gmail.com
Stability : unstable
Portability : portable
Creation date: Tue Jan 29 19:10:46 2019.
To be imported qualified.
-}
module ELynx.Data.MarkovProcess.SubstitutionModel
( -- * Types
Name
, Params
, SubstitutionModel
-- * Lenses and other accessors
, alphabet
, name
, stationaryDistribution
, exchangeabilityMatrix
, rateMatrix
, totalRate
-- * Building substitution models
, substitutionModel
-- * Transformations
, scale
, normalize
, appendName
-- * Output
, summarize
)
where
import qualified Data.ByteString.Lazy.Char8 as L
import qualified Numeric.LinearAlgebra as LinAlg
import ELynx.Data.Alphabet.Alphabet
import ELynx.Tools
import qualified ELynx.Data.MarkovProcess.RateMatrix
as R
-- | Name of substitution model; abstracted and subject to change.
type Name = String
-- | Parameters of substitution model. May be the empty list.
type Params = [Double]
-- XXX: Use a proper data type. For example:
-- data SubstitutionModelAA = LG | WAG | LG-Custom dist | ...
-- data SubstitutionModelNuc = JC | HKY p1 p2 ... | GTR p1 p2 ...
--
-- I thought about this a lot, and it seems easier like it is at the moment.
-- Since the data types are abstracted anyways, not much harm can be done. Of
-- course, conflicting substitution models can be declared, or duplicate ones
-- with different names, but well...
-- | Complete definition of a substitution model. Create instances with
-- 'substitutionModel'. A substitution model has an alphabet, a name, and a list
-- of parameters (e.g., the kappa value for the HKY model). Further, the
-- transition rate matrix is defined by a stationary distribution and a set of
-- exchangeabilities.
data SubstitutionModel = SubstitutionModel
{ alphabet :: Alphabet -- ^ Alphabet
, name :: Name -- ^ Name
, params :: Params -- ^ List of parameters
, stationaryDistribution :: R.StationaryDistribution -- ^ Stationary distribution
, exchangeabilityMatrix :: R.ExchangeabilityMatrix -- ^ Exchangeability matrix
}
deriving (Show, Read)
-- | Calculate rate matrix from substitution model.
rateMatrix :: SubstitutionModel -> R.RateMatrix
rateMatrix sm = R.fromExchangeabilityMatrix (exchangeabilityMatrix sm)
(stationaryDistribution sm)
-- | Get scale of substitution model.
totalRate :: SubstitutionModel -> Double
totalRate sm = R.totalRate (rateMatrix sm)
-- | Create normalized 'SubstitutionModel'. See 'normalize'.
substitutionModel
:: Alphabet
-> Name
-> Params
-> R.StationaryDistribution
-> R.ExchangeabilityMatrix
-> SubstitutionModel
substitutionModel c n ps d e = if R.isValid d
then normalize $ SubstitutionModel c n ps d' e
else
error
$ "substitionModel: Stationary distribution does not sum to 1.0: "
++ show d
where d' = normalizeSumVec 1.0 d
-- | Scale the rate of a substitution model by given factor.
scale :: Double -> SubstitutionModel -> SubstitutionModel
scale r sm = sm { exchangeabilityMatrix = em' }
where em' = LinAlg.scale r $ exchangeabilityMatrix sm
-- | Normalize a substitution model, so that, on average, one substitution
-- happens per unit time.
normalize :: SubstitutionModel -> SubstitutionModel
normalize sm = scale (1.0 / r) sm where r = totalRate sm
-- | Abbend to name.
appendName :: Name -> SubstitutionModel -> SubstitutionModel
appendName n sm = sm { name = n' } where n' = name sm <> n
-- | Summarize a substitution model; lines to be printed to screen or log.
summarize :: SubstitutionModel -> [L.ByteString]
summarize sm =
map L.pack
$ (show (alphabet sm) ++ " substitution model: " ++ name sm ++ ".")
: [ "Parameters: " ++ show (params sm) ++ "." | not (null (params sm)) ]
++ case alphabet sm of
DNA ->
[ "Stationary distribution: "
++ dispv precision (stationaryDistribution sm)
++ "."
, "Exchangeability matrix:\n"
++ dispmi 2 precision (exchangeabilityMatrix sm)
++ "."
, "Scale: " ++ show (roundN precision $ totalRate sm) ++ "."
]
Protein ->
[ "Stationary distribution: "
++ dispv precision (stationaryDistribution sm)
++ "."
, "Scale: " ++ show (roundN precision $ totalRate sm) ++ "."
]
_ ->
error
"Extended character sets are not supported with substitution models."