
LACE source: R/frontend.R - R Package Documentation
In LACE: Longitudinal Analysis of Cancer Evolution (LACE) Defines functions LACE Documented in LACE
LACE Index for Readmission - MDCalc
Predicts 30-day readmission or death in patients on medicine and surgery wards. Use in patients ≥18 years old. Please fill out required fields. Carl van Walraven, MD, is a professor of medicine and epidemiology at the University of Ottawa.
LACE/src/LpcAlgorithm.cc at master · uow-physics/LACE - GitHub
LPC Algorithm in a C++ Environment. Contribute to uow-physics/LACE development by creating an account on GitHub.
Name LACE: an R package for the inference of longitudinal cancer evolution models Description LACE is an algorithmic framework that processes single-cell somatic mutation pro-files from cancer samples collected at different time points and in distinct experimental set-tings, to produce longitudinal models of cancer evolution.
Lace Borders – @rainbowpixelz-blog on Tumblr
Lace Borders A code for a lace border <div style='background-image: url( ~URL of Image HERE~ );background-repeat: repeat-x;'><img src=" ~SAME URL HERE~ "></div
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LACE source: R/data.R - R Package Documentation
In LACE: Longitudinal Analysis of Cancer Evolution (LACE) #' @name longitudinal_sc_variants #' @title mutation data from Rambow, Florian, et al. "Toward minimal residual disease-directed therapy in melanoma."
DragonLace
2014年10月23日 · In related pkgsrc news, lang/gcc5-aux was upgraded from vesion 5.1 to 5.4 and lang/gcc6-aux (version 6.2) was introduced at the end of 2016. They support FreeBSD, DragonFly, and SunOS, but are limited to x86 architecture.
LACE source: R/visualization.R - R Package Documentation
#' Plot a longitudinal tree inferred by LACE.#' @title longitudinal.tree.plot#'#' @examples#' data (inference)#' clone_labels = c ("ARPC2","PRAME","HNRNPC","COL1A2","RPL5","CCT8")#' …
trolando/lace: Lace - implementation of work-stealing in C - GitHub
Lace is a C framework for fine-grained fork-join parallelism intended for scientific computations on multi-core computers. if (n < 2) return n; SPAWN (fibonacci, n-1); int a = CALL (fibonacci, n-2); int b = SYNC (fibonacci); return a+b; int main (int argc, char …
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