Derek Pappas <djpappas75@gmail.com>, Steve Mack <Steven.Mack@ucsf.edu>, Jill Hollenbach <Jill.Hollenbach@ucsf.edu>

Biochemically Intuitive Generalized Loewe Model
Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas
Response surface methods for drug synergy analysis. Available
methods include generalized and classical Loewe formulations as well as Highest
Single Agent methodology. Response surfaces can be plotted in an interactive
3-D plot and formal statistical tests for presence of synergistic effects are
available.
ggplot2, MASS, methods, minpack.lm, numDeriv, parallel,
progress, rgl, robustbase, scales

Response surface methods for drug synergy analysis. Available
methods include generalized and classical Loewe formulations as well as Highest
Single Agent methodology. Response surfaces can be plotted in an interactive
3-D plot and formal statistical tests for presence of synergistic effects are
available. Implemented methods and tests are described in the article
"BIGL: Biochemically Intuitive Generalized Loewe null model for prediction
of the expected combined effect compatible with partial agonism and antagonism"
by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas, Olivier Thas,
Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans (2017)
<doi:10.1038/s41598-017-18068-5>.

Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas, Stijn Hawinkel
ggplot2, MASS, methods, minpack.lm, numDeriv, parallel,
progress, rgl, robustbase, scales, nleqslv,

ggplot2, MASS, methods, minpack.lm, numDeriv, parallel,
progress, rgl, robustbase, scales, nleqslv

Bootstrap Inference for Network COstruction
Shuang Li <shuangli@fhcrc.org>,Li Hsu <lih@fhcrc.org>, Jie Peng
<jiepeng@ucdavis.edu>, Pei Wang <pwang@fhcrc.org>,
Network construction based on inference on edge selection
frequencies generated from bootstrap resamples

Estimate the Correlation Between Two Irregular Climate Time
Series
c(person("Josué M.", "Polanco-Martínez", role = c("aut",
"cph", "cre"), email = "josue.m.polanco@gmail.com"),
person("Mikko", "Korpela", role = c("ctb", "trl")),
person("Aalto University", role = c("cph")),
person("Manfred", "Mudelsee", role = "ctb"))
Josué M. Polanco-Martínez [aut, cph, cre],
Mikko Korpela [ctb, trl],
Aalto University [cph],
Manfred Mudelsee [ctb]
Estimate the correlation between two irregular time series that are not necessarily sampled on identical time points. This program is also applicable to the situation of two evenly spaced time series that are not on the same time grid. 'BINCOR' is based on a novel estimation approach proposed by Mudelsee (2010, 2014) to estimate the correlation between two time series with different timescales. 'BINCOR' contains four functions: bin_cor() (the main function to build the binned time series), plot_ts() (to plot and compare the irregular and binned time series, cor_ts() (to estimate the correlation between the binned time series) and ccf_ts() (to estimate the cross-correlation between the binned time series).