Results 91 to 100 of about 7,799 (146)

A Picture Guide to Cancer Progression and Evolutionary Accumulation Models: Systematic Critique, Plausible Interpretations, and Alternative Uses

IEEE Access
Cancer progression and evolutionary accumulation models were developed to discover dependencies in the irreversible acquisition of binary traits from cross-sectional data.
Ramon Diaz-Uriarte, Iain G. Johnston
doaj   +1 more source

Determination of Nonlinear Genetic Architecture using Compressed Sensing

, 2015
We introduce a statistical method that can reconstruct nonlinear genetic models (i.e., including epistasis, or gene-gene interactions) from phenotype-genotype (GWAS) data.
Ho, Chiu Man, Hsu, Stephen D. H.
core   +1 more source

Genetic architecture of yield and yield contributing traits in chickpea (Cicer arietinum L.)

Discover Agriculture
Genetic architecture of yield and yield contributing characters of five crosses in chickpea were performed by generation mean analysis. Non-significant χ2 values were noted for plant weight at harvest (PWH), number of pods per plant (NPd/P) and number of
A. C. Deb, M. T. Hasan
doaj   +1 more source

SIGN EPISTASIS LIMITS EVOLUTIONARY TRADE-OFFS AT THE CONFLUENCE OF SINGLE- AND MULTI-CARBON METABOLISM INMETHYLOBACTERIUM EXTORQUENSAM1 [PDF]

Evolution, 2013
Sean Michael Carroll, Ming-Chun Lee, Christopher J. Marx   +2 more
openaire   +1 more source

The importance of epistasis in the evolution of viral pathogens. [PDF]

Virus Evol
Manivannan SN, Diaz Arenas C, Grubaugh ND, Ogbunugafor CB.   +3 more
europepmc   +1 more source

A gene-based model of fitness and its implications for genetic variation: linkage disequilibrium. [PDF]

Genetics
Johri P, Charlesworth B.
europepmc   +1 more source

Predicting the topography of fitness landscapes from the structure of genotype-phenotype maps. [PDF]

Genetics
Srivastava M, Louis AA, Martin NS.
europepmc   +1 more source

Network stress: a wiring diagram of whole stress genes. [PDF]

Hortic Res
Wang Y, Wu R.
europepmc   +1 more source

Viral evolution during primary infection in immunocompromised hosts. [PDF]

PLoS Comput Biol
Craig M, Deng X, McLeod DV.
europepmc   +1 more source

Using machine learning to predict and analyze complex trait diseases: Lessons from a simple abstract model. [PDF]

PLoS One
Maimon E, Bondi O, Moult J, Unger R.
europepmc   +1 more source