genetics | Genetic Algorithm in Python , which could be | Machine Learning library
kandi X-RAY | genetics Summary
kandi X-RAY | genetics Summary
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning.
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Top functions reviewed by kandi - BETA
- Select one or more features
- Run a single iteration
- Generates a random gaming board
- Select a single instance
- Select a feature from the model
- Generate random gene sequence
- Print verbose if verbose is set
- Reproduce two genes
- Reproduces a gene
genetics Key Features
genetics Examples and Code Snippets
Lines of Code : 37License : Strong Copyleft (CC BY-SA 4.0)
Copyimport re
given_example = "GCA_000739415.1 PRJNA245225 SAMN02732406 na 837 837 Porphyromonas gingivalis strain=HG66 latest Chromosome Major Full 2014/08/14 ASM73941v1 University of Louisville GCF_000739415.1 idegt = GuessText("""The smartest and fastest Pixel yet.
Google Tensor: Our first custom-built processor.
The first processor designed by Google and made for Pixel, Tensor makes the new Pixel phones our most powerful yet.
Thdf = pd.read_fwf(r'c:\test\test_file.txt')
print(df)
CHR SNP A1 A2 TEST AFF UNAFF CHISQ DF P
0 1 rs10458597 T C TREND 4/230 13/973 0.156500 1.0 6.924000e-01
1 input = [seq_1, seq_2, seq_n]
mutated_input = [mutate_v2(s) for s in input]
def mutate_multiple(sequences):
return [mutate_v2(s) for s in sequences]
# call the method:
input = [seq_1, seq_2, seq_n]
mutated_inpimport re
s= 'GATATATGCATATACTT'
t = r'(?=(ATAT))'
pattern = re.compile(t)
[print(i) for i in pattern.finditer(s)]
[print(i.start()) for i in pattern.finditer(s)]
<
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)Copydf['names'].str.split(", ").explode().value_counts()
$ grep -Pohm 1 "(?<=^Estimated Ln Prob of Data = ).*" job_*
-5570597.3
-2834943326.2
-P, --perl-regexp
Interpret PATTERNS as Perl-compatible regular expressions (PCREs).
-h,samples.drop(set(samples.columns[1:]) - set(gse1.detailsv.Accession.unique()), axis=1)
def make_complement_strand(DNA):
complement=[]
rules_for_complement={"A":"T","T":"A","C":"G","G":"C"}
for letter in DNA:
complement.append(rules_for_complement[letter])
return(complement)
def is_this_a_palindrome(D--make-grm-part 3 1 ...
--make-grm-part 3 2 ...
--make-grm-part 3 3 ...
Community Discussions
Trending Discussions on genetics
QUESTION
ANSWER
Answered 2022-Apr-16 at 13:15You can wrap your
- in a and center it like this:
QUESTION
I´m working with two text files that look like this: File 1
...ANSWER
Answered 2022-Apr-09 at 00:49Perhaps you are after this?
QUESTION
I have an XML like:
...ANSWER
Answered 2022-Jan-23 at 23:09This is a solution I think with xml2 and a quick and verbose tidy verse approach.
Not always easy to have a compact code when importing nested xml data.
QUESTION
I have a column with 692 degree titles that I need to categorize as: certificate, associate, bachelor, master or higher. There is a lot of inconsistency in a degree titles. For example, a BS degree might include BS, B S, BS in Nursing, BSE, B.S. Accounting, Bachelor of Science, Bachelor of Science in Genetics, and so on. Each one need to be categorized as "Bachelor".
I've tried to detect as much of the string as possible using str_detect, but have not been very successful. How would I detect these different types of degrees?
What I have What I need Bachelor of Science Bachelor BA Bachelor BFA Bachelor Certificate in Nursing Certificate Associates in Art Associate AA Associate MS Master or higher Masters of Art Master or higher ...ANSWER
Answered 2022-Jan-04 at 23:40Maybe something like this?
QUESTION
I have a 3X3 data frame (df) whose columns are "observation" and "features". Each cell of "features" columns has many lists of dictionaries in them.
I would like to write a loop which will go over each cells of "features" columns and will count the number of unique two-digit categories, simultaneously these counted numbers will be put to another data frame which will have two columns: "Categories" (such as "02 Pppppppp") which will give the name of two-digit categories and their counted numbers in "Count" column.
...ANSWER
Answered 2022-Jan-02 at 18:52You could try to :
- find and parse all the string dictionaries in
featureswith the help of Python standard library re and ast modules, - count unique values and make a dataframe of them,
- finally, exclude categories which names do not begin with two digits using Pandas str.match method.
Like this:
QUESTION
This is my first time programming in rust (I'm currently reading the book) and I recently had a need to scrap a list of diseases and conditions for this site, after trying out several guides, I ended up with this small snippet. I'm currently stuck iterating through a ol, where instead of taking each li as an item in the array, it's being taken as a single element.
ANSWER
Answered 2021-Dec-21 at 02:03find() returns a list of the elements matching the creteria. You need to call .children() to get the
QUESTION
I have a Endote Export File, looking like this:
...ANSWER
Answered 2021-Nov-29 at 05:26Would you please try the following:
QUESTION
I have this code:
...ANSWER
Answered 2021-Nov-19 at 00:14The question's code seems to assign the list of sequential colors to the values from largest to smallest. When ex aequos are encountered, the order is not well-defined, but the approach will always assign different colors, although the values are equal. The approach seems to be meant to color the bars from high to low, when they aren't already sorted and when all values are different.
Here is an approach to color-by-value:
QUESTION
I am currently creating my genetic algorithm and want to print the number of generations at the very end of the program when it finishes. However I am unsure how to access the counter variable that is the number of generations when it is outside of the class and method. So for example, at the end it would be like
...ANSWER
Answered 2021-Nov-17 at 04:03Define the GuessText first. Then access the counter.
QUESTION
I'm trying to create a simple script in R to simulate environmental pressure on genes so I have this following random generator of ATCG:
...ANSWER
Answered 2021-Nov-11 at 22:38Maybe this is what you had in mind:
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Install genetics
You can use genetics like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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