improve documentation
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12
readme.md
12
readme.md
@@ -71,7 +71,7 @@ Options when making a Sample Plate file:
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* Standard deviation size
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* Exponential
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* Lambda value
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* Based on the slope of the graph in Figure 4C of the pairSEQ paper, the distribution of the original experiment was exponential with a lambda of approximately 0.6. (Howie et al. 2015)
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* Based on the slope of the graph in Figure 4C of the pairSEQ paper, the distribution of the original experiment was exponential with a lambda of approximately 0.6. (Howie et al. 2015)
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* Total number of wells on the plate
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* Number of sections on plate
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* Number of T cells per well
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@@ -190,19 +190,21 @@ in practice.
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## TODO
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* Try invoking GC at end of workloads
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* Hold graph data in memory until another graph is read-in
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* Try invoking GC at end of workloads to reduce paging to disk
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* ~~Hold graph data in memory until another graph is read-in?~~
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* No, this won't work, because BiGpairSEQ simulations alter the underlying graph based on filtering constraints. Changes would cascade with multiple experiments.
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* Enable GraphML output in addition to serialized object binaries, for data portability
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* Custom vertex type with attribute for sequence occupancy?
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* Re-implement CDR1 matching method
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* Re-implement command line arguments, to enable statistical simulation studies
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* Re-implement command line arguments, to enable scripting and statistical simulation studies
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* Implement Duan and Su's maximum weight matching algorithms
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* Add controllable algorithm-type parameter?
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* Test whether pairing heap (currently used) or Fibonacci heap is more efficient for current matching algorithm
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* in theory Fibonacci heap should be more efficient, but complexity overhead may eliminate theoretical advantage
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* Add controllable heap-type parameter?
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* Implement sample plates with random numbers of T cells per well
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* BiGpairSEQ is resilient to variations in well populations; pairSEQ is not
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* Possible BiGpairSEQ advantage: BiGpairSEQ is resilient to variations in well populations; pairSEQ is not.
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* preliminary data suggests that BiGpairSEQ behaves roughly as though the whole plate had whatever the *average* well concentration is, but that's still speculative.
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* See if there's a reasonable way to reformat Sample Plate files so that wells are columns instead of rows
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* Problem is variable number of cells in a well
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* Apache Commons CSV library writes entries a row at a time
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