WH_train

Train weights for WH and output weight vector

R codes for distance based cell lineage reconstruction. Our methods won both sub-challenges 2 and 3 of the Allen Institute Cell Lineage Reconstruction DREAM Challenge in 2020.
References: Gong et al. (2021) <doi:10.1016/j.cels.2021.05.008>, Gong et al. (2022) <doi:10.1186/s12859-022-04633-x>.

Il-Youp Kwak

DCLEAR

Distance Based Cell Lineage Reconstruction

Wuming Gong

WH_train function

<dl><dt>X</dt>
<dd>a list of k number of input data, X[[1]] ... X[[k]]. The ith data have sequence information as phyDat format in X[[i]][[1]], and tree information in X[[i]][[2]] as phylo format.</dd>
<dt>loc0</dt>
<dd>weight location of initial state</dd>
<dt>locDropout</dt>
<dd>weight location of dropout state</dd>
<dt>locMissing</dt>
<dd>weight location of missing state, FALSE if there is no missing values</dd></dl>

Arguments

Author

Train weights for WH — WH_train

<dl>

<dt>X</dt>
<dd>a list of k number of input data, X[[1]] ... X[[k]]. The ith data have sequence information as phyDat format in X[[i]][[1]], and tree information in X[[i]][[2]] as phylo format.</dd>


<dt>loc0</dt>
<dd>weight location of initial state</dd>


<dt>locDropout</dt>
<dd>weight location of dropout state</dd>


<dt>locMissing</dt>
<dd>weight location of missing state, FALSE if there is no missing values</dd>

</dl>

WH_train: Train weights for WH

Description

Usage

Value

Arguments

Author