Skip to content

Latest commit

 

History

History
56 lines (37 loc) · 2.51 KB

README.md

File metadata and controls

56 lines (37 loc) · 2.51 KB
Raw

SCIFIL

Single Cell Inference of FItness Landscape

We propose a computational method for in vivo inference of clonal selection and estimate of fitness landscapes of heterogeneous cancer cell populations from single cell sequencing data.

It takes single cell data, mutation tree and estimates finesses of all mutations.

Parameters

  • n - number of haplotypes
  • m - number of mutation (not counting repeated mutation)
  • gv_file - path to file with mutation tree in GraphcViz format
  • names_file (optional) - name of file with mutation names
  • output (optional) - path for output file. Default "out.txt"
  • method (optional) - method to use for fitness calculation(default "heuristic"):
    • heuristic to use heuristic
    • brute_force to use brute force in finding order of mutation event in time for fitness estimation
  • nRep (optional) - number of repeated mutation(if any) starting from 1
  • theta (optional) - value of theta (mean cancer cells mutation rate). Default is 0.01.

infSCITE trees

To obtain the trees from data folder we used infSCITE with following parameters:

./infSCITE -i dataHou18.csv -n 18 -m 58 -r 1 -l 500000 -fd 3.45e-3 -ad 1.46e-1 -s -e .2 -p 10000 -d -rec 3 -o output/dataHou18/dataHou18 -a

./infSCITE -i dataHou18.csv -n 18 -m 58 -r 1 -l 500000 -fd 3.45e-3 -ad 1.46e-1 -s -e .2 -p 10000 -d -o output/dataHou18/dataHou18 -a

With third (SESN2) repeated mutation and without it respectively.

Hot to run

In console type and change to actual parameters:

matlab -nodisplay -nodesktop -r "n=<number>;m=<number>;gv_file='<input_gv_tree>';output='<output_file>';method='<method_name>';nRep=<number>;theta=<number>;SCIFIL"

Example:

matlab -nodisplay -nodesktop -r "gv_file='data/dataHou18_map0_rep3.gv';names_file='data/dataHou18names.txt';nRep=3;n=58;m=18;SCIFIL"

matlab -nodisplay -nodesktop -r "gv_file='data/dataHou18_map0_noRep.gv';names_file='data/dataHou18names.txt';n=58;m=18;SCIFIL"

Execution result: Example

There will be two figures. First represent mutation tree, second fitness landscape.

Output file

Output contains only one line - calculated fitness of mutations in the same order as in names file or as their numbers in gv file (if names file is not specified). Repeated mutation's fitness will be the last one, first number is root(healthy tissue) fitness rate.

1.0000 1.0152 1.0404 1.0208 1.0793 1.0097 1.1066 1.0580 1.1933 1.0490 1.0270 1.1387 1.0682 1.0925 1.1493 1.0049 1.1274 1.0182 1.0334 1.2875