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kandi X-RAY | cancer Summary
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QUESTION
I have a list of dataframes
...ANSWER
Answered 2021-Jun-13 at 12:22You could use map_dfr
from purrr
:
QUESTION
So i got a page with a series of switches that are based on the following values:
...ANSWER
Answered 2021-Jun-10 at 19:37You can pass setValues()
a function which updates the state based on the previous state. The function takes the previous state and returns the new state. That way, you don't have to refer to the values
defined outside of the useEffect()
hook.
For example,
QUESTION
Im creating a medical app and i got a react class that uses hooks and looks like this.
...ANSWER
Answered 2021-Jun-10 at 00:55let newValues = values // create a variable of value
// turn newValues into entries.
// example {asthma: "off", cancer: "off"} => [['asthma', 'off'], ['cancer', 'off']]
// now you can map through each property of the object
let valueArray = Object.entries(newValues).map((v, index) => {
v[1] = switchValues[index]
return v
}
// turn entries back to object
newValues = Object.fromEntries(valueArray)
// set back into state
setValues({...newValues})
QUESTION
Input String:
However, the gene of hBD-1 and LL-27 expression was not affected by cancer in both acne and non-acne patients.
Expected Output String:
However, the gene of hBD-1 expression and LL-27 expression was not affected by cancer in both acne patients and non-acne patients.
Code:
...ANSWER
Answered 2021-Jun-01 at 07:09I would use re.sub
here to selectively replace any gene term with itself followed by the text expression
, for those genes who do not already have this text following it.
QUESTION
I'm trying to parse this .txt file in R: https://ftp.expasy.org/databases/cellosaurus/cellosaurus.txt
It's essentially a single column data frame of some ~2 million rows, with each entity being described by multiple rows and bookended by rows containing the string "//".
Ideally, I could capture each entity, made up of multiple rows, as a list element by splitting at "//", but I'm not sure of the most efficient way to go about this.
Any help is much appreciated.
EDIT:
Here's a snippet of what I'm working with:
...ANSWER
Answered 2021-Jun-02 at 11:06Here is one solution using data.table
.
QUESTION
The problem for different cases using examples of string.
Case 1
Input string:
However, the gene of hBD-1 and LL-27 expression was not affected by acnes.
Code:
...ANSWER
Answered 2021-Jun-02 at 07:47What you might so is use 2 capture groups and use sub with a lambda checking for the groups.
QUESTION
I'm currently trying to create a dual conditional, where, if the Cancer type (Indication) and Gene (Genes) of my data frame "mockup" both appear in another data frame called "cpg", then a new column in the mockup table has either a "yes" if both conditions are met, and a "no" if not. To illustrate this:
The mockup table has:
Indication Genes Acute Myeloid Leukemia TP53 Acute Myeloid Leukemia GNAQAnd the cpg dataframe has:
Cancer Type Gene Acute Myeloid Leukemia TP53 Acute Myeloid Leukemia ATMI would like to produce a mockup table that looks like this (based on the cpg data):
Indication Genes Hotspot? Acute Myeloid Leukemia TP53 Yes Acute Myeloid Leukemia GNAQ NoSo far I've tried (and failed) to make a for loop with a conditional to create a vector, with the hopes of then appending this vector as a new column:
...ANSWER
Answered 2021-May-31 at 15:38Is this required? For loops in R, as R is already vectorised, are generally avoidable.
- Base R version
QUESTION
I am creating a model to detect skin cancer using the ISIC skin cancer dataset. I have created a CNN model but after compiling it's throwing a shape error. My-Code-
...ANSWER
Answered 2021-May-27 at 09:00You set label_mode='int'
, that's why you should use sparse_categorical_crossentropy
as a loss function but you use loss function categorical_crossentropy
which use generally when your target is one-hot encoded.
From tf.keras.preprocessing.image_dataset_from_directory, the label_mode
should be as follows
QUESTION
I have a data frame with given structure
...ANSWER
Answered 2021-May-27 at 07:23Perhaps you want to group_by(trial_id)
before checking for duplicates, e.g.
QUESTION
I have the following document for which I need to do mapping for elasticsearch
...ANSWER
Answered 2021-May-18 at 07:35There is no need to specify any particular mapping for array values.
If you will not define any explicit mapping, then the rows
field will be dynamically added as of the text
data type
There is no data type that is defined for arrays in elasticsearch. You just need to make sure that the rows
field contains the same type of data
Adding a working example with index data, search query, and search result
Index Mapping:
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