Update readme to reflect wells with random population implemented

This commit is contained in:
2022-02-24 15:45:03 -06:00
parent ab8d98ed81
commit 35d580cfcf

View File

@@ -260,7 +260,7 @@ slightly less time than the simulation itself. Real elapsed time from start to f
* ~~Apache Commons CSV library writes entries a row at a time~~ * ~~Apache Commons CSV library writes entries a row at a time~~
* _Got this working, but at the cost of a profoundly strange bug in graph occupancy filtering. Have reverted the repo until I can figure out what caused that. Given how easily Thingiverse transposes CSV matrices in R, might not even be worth fixing._ * _Got this working, but at the cost of a profoundly strange bug in graph occupancy filtering. Have reverted the repo until I can figure out what caused that. Given how easily Thingiverse transposes CSV matrices in R, might not even be worth fixing._
* Re-implement command line arguments, to enable scripting and statistical simulation studies * Re-implement command line arguments, to enable scripting and statistical simulation studies
* Implement sample plates with random numbers of T cells per well. * ~~Implement sample plates with random numbers of T cells per well.~~ DONE
* Possible BiGpairSEQ advantage over pairSEQ: BiGpairSEQ is resilient to variations in well population sizes on a sample plate; pairSEQ is not. * Possible BiGpairSEQ advantage over pairSEQ: BiGpairSEQ is resilient to variations in well population sizes on a sample plate; pairSEQ is not.
* preliminary data suggests that BiGpairSEQ behaves roughly as though the whole plate had whatever the *average* well concentration is, but that's still speculative. * preliminary data suggests that BiGpairSEQ behaves roughly as though the whole plate had whatever the *average* well concentration is, but that's still speculative.
* Enable GraphML output in addition to serialized object binaries, for data portability * Enable GraphML output in addition to serialized object binaries, for data portability