Skip to content

Lambda: inf & Score: -inf #93

@francicco

Description

@francicco

Hi,

I'm trying to run a simple cafe analysis:

load -i PhyleticProfileHOGs.CafeInput.txt -p 0.01 -t 10 -l log_run1.txt
tree (((((Hmel:0.02,Haoe:0.02):0.1,Herd:0.12):0.05,Eisa:0.17):0.01,Diul:0.18):0.02,Smor:0.2)
lambda -s -t (((((1,1)1,1)1,1)1,1)1,1)

My PhyleticProfileHOGs.CafeInput.txt looks like this:

FAMILYDESC	FAMILY	Diul	Eisa	Haoe	Herd	Hmel	Smor
HOG00001	HOG00001	0	0	1	0	1	0
HOG00002	HOG00002	0	0	1	0	1	0
HOG00003	HOG00003	0	0	1	0	1	0
HOG00004	HOG00004	0	0	1	0	1	0
HOG00005	HOG00005	0	0	1	0	1	0
HOG00006	HOG00006	0	0	1	0	1	0
HOG00007	HOG00007	0	0	1	0	1	0
HOG00008	HOG00008	0	0	1	0	1	0
HOG00009	HOG00009	0	0	1	0	1	0

this is the log:

Family information: PhyleticProfileHOGs.CafeInput.txt
Log: log_run1.txt
The number of families is 16650
Root Family size : 1 ~ 121
Family size : 0 ~ 147
P-value: 0.01
Num of Threads: 10
Num of Random: 1000
(((((Hmel:0.02,Haoe:0.02):0.1,Herd:0.12):0.05,Eisa:0.17):0.01,Diul:0.18):0.02,Smor:0.2)
The number of lambdas is 1
Lambda Tree: (((((1,1)1,1)1,1)1,1)1,1)
Empirical Prior Estimation Result: (26 iterations)
Poisson lambda: 0.138451 & Score: 40813.540951
WARNING: Calculated posterior probability for family HOG00001 = 0
Lambda :             inf & Score: -inf
.WARNING: Calculated posterior probability for family HOG00001 = 0
Lambda :             inf & Score: -inf
.
Lambda Search Result: 0
Lambda :             inf & Score: inf
DONE: Lambda Search or setting, for command:
lambda -s -t (((((1,1)1,1)1,1)1,1)1,1) 

This the beginning of the report:

Tree:(((((Hmel:0.02,Haoe:0.02):0.1,Herd:0.12):0.05,Eisa:0.17):0.01,Diul:0.18):0.02,Smor:0.2)
Lambda: inf
Lambda tree:    (((((1,1)1,1)1,1)1,1)1,1)
# IDs of nodes:(((((Hmel<0>,Haoe<2>)<1>,Herd<4>)<3>,Eisa<6>)<5>,Diul<8>)<7>,Smor<10>)<9>
# Output format for: ' Average Expansion', 'Expansions', 'No Change', 'Contractions', and 'Branch-specific P-values' = (node ID, node ID): (0,2) (1,4) (3,6) (5,8) (7,10) 
# Output format for 'Branch cutting P-values' and 'Likelihood Ratio Test': (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
Average Expansion:      (0.84036,0.722282)      (0,0.755255)    (0,1.06871)     (0,0.896456)    (-1,-0.189369)
Expansion :     (13024,11640)   (0,11966)       (0,13705)       (0,12733)       (0,652)
nRemain :       (3626,5010)     (16650,4684)    (16650,2945)    (16650,3917)    (0,10776)
nDecrease :     (0,0)   (0,0)   (0,0)   (0,0)   (16650,5222)
'ID'    'Newick'        'Family-wide P-value'   'Viterbi P-values'      'cut P-value'   'Likelihood Ratio'
HOG00001        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00002        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00003        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00004        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00005        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00006        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00007        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00008        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 
HOG00009        (((((Hmel_1:0.02,Haoe_1:0.02)_0:0.1,Herd_0:0.12)_0:0.05,Eisa_0:0.17)_0:0.01,Diul_0:0.18)_0:0.02,Smor_0:0.2)_1   0.5005  ((-,-),(-,-),(-,-),(-,-),(-,-)) 

What am I doing wrong?

Thanks for your help
Francesco

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions