Questions tagged [chemistry]
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22
questions
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21 views
Kernel Density Estimate of Gaussian Peaks along a Time Axis
I have some chromatographic data, where molecules are sorted in order of some physical property. The resulting data shows an abundance of gaussian-like peaks across a time axis. See the poorly-made ...
0
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0answers
37 views
How to test if a river affect another?
I have two rivers, two monitoring stations placed in each river, and two datasets. One river is a tributary of the other.
The datasets are complete, pH, metals, field parameters (flow, temperature, ...
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0answers
20 views
Model Architectures for functional graph or data series type data regression problems using PyTorch, FastAi or TensorFlow
For a university assignment, I am currently trying to build an optical sensor to supervise chemical reactions in pipes. Two sensors are installed in the pipe, around 1mm apart from each other, and ...
2
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1answer
48 views
Determining whether new data is “in distribution” with training data
I'm hoping to use machine learning to predict chemical properties of various molecules. Many chemistry machine learning research papers that I come across talk about model generalizability issues ...
3
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0answers
20 views
How do I record randomly assigned data succinctly in a table
Please forgive me if I am posting this in the wrong forum. Here is the context of my question:
I am conducting a drug trial, of sorts.
I have 7-8 potential candidates for the treatment.
Between ...
1
vote
1answer
282 views
Clustering data based on correlation
I have a dataset where each row represents a sample and each sample is described by its chemical composition. You can see the 10 first rows of the dataset in figure 1.
Figure 1 - Each row represent a ...
2
votes
1answer
52 views
Function to fit acid reaction curve
Data in the image below shows a variable DME reacting to the increase in acid concentration. It looks like it has a very fast increase from when the concentration is raised from 0 to 0.5 and then a ...
3
votes
0answers
30 views
How to estimate the uncertainty of a function that has to be solved numerically
Consider I have a function:
$PV_m^3 - PbV_m^2 +aV_m+ab=RT$
In this example I have measured the uncertainties in $P$ and $T$ experimentally and the errors in $a$ and $b$ can be assumed to be zero. ...
2
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0answers
32 views
Adjacency matrix of amino-acid residue [closed]
How to get the mathematical representation of the chemical bonds in protein residue or the whole protein? Is it possible to get the connectivity matrix or a pairwise description?
The example in the ...
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0answers
19 views
Can one use parametric regression tests (e.g., Pearson's R2) on summary statistics (that are normal) derived from non-normal data?
Can one use parametric linear regression tests (e.g., Pearson's R2) on summary statistics (e.g., mean and median) that are normal but derived from non-normal data?
I am specifically dealing with mean ...
3
votes
2answers
266 views
Intersections of chemistry and statistics
I am asking this question for a friend who knows a lot of chemistry and is now studying statistics, primarily since he heard this is the age of data and one should know statistics. However, he is ...
3
votes
1answer
97 views
Dimensions of clustering results
My PhD research (computational organic chemistry) often generates large data sets (>10000 entires) of 'conformers' - where a conformer is basically the spatial arrangement of atoms in space.
From ...
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1answer
46 views
Analyzing a chemistry experiment - Sampling without replacement
I've been reviewing the results of an interesting chemistry experiment a colleague of mine was conducting, and she sought some help analyzing the results. Would you be able to help, please?
The ...
2
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0answers
55 views
Correlation between chemical analysis results
I have performed chemical analysis on a sample and the resulting data is something like this: "Carbon: 1.2%, Iron: 50%, Vanadium 2.3% ..." and so on.
I have 25 sets of similar data taken from other ...
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0answers
77 views
What kind of neural network for varying size input & multiple values to predict
I am fairly new to neural networks, I have experience implementing a few simple CNN and RNNs. I really appreciate any advice.
I am looking to train a NN to predict the binding affinity for protein ...
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vote
0answers
22 views
Find (latent) variables which correlate with age of samples (Time series correlations)
I have 8 samples of whisky which are all from the same producer, matured in the same type of casks. However, the casks were (naturally) different.
My ages range from 5 years to 32 years old, but ...
1
vote
1answer
282 views
Elementary Statistics book using Chemistry Data Sets
I searched a lot but could not find an Elementary Statistics book using Chemistry data sets for examples and exercises. I would highly appreciate if someone point out me such books.
2
votes
0answers
551 views
Is it possible to use PCA twice, first on several subsets of data, and then again on the main components of those subsets?
I am interested in understanding if it is possible to use PCA twice, first on several subsets of data, and then again on the main components of those data subsets. I'm not entirely sure if this will ...
2
votes
1answer
105 views
Choice of statistical test - confirmation
I want to know if I'm choosing the right statistical test for my situation.
Description:
In a production process there are several places where wastewater is created (lets call these "spots", spot 1,...
27
votes
1answer
1k views
When if ever is a median statistic a sufficient statistic?
I came across a casual remark on The Chemical Statistician that a sample median could often be a choice for a sufficient statistic but, besides the obvious case of one or two observations where it ...
6
votes
1answer
654 views
How to predict a binary outcome with unbalanced repeated measures data?
I’m somewhat lost as to how to approach a problem I have and was hoping someone can suggest the most appropriate method.
The problem:
I have a data set consisting of concentration values for 8 ...
1
vote
0answers
43 views
Evaluating a clinical test
I need to evaluate a test (posterior predictive value) but the test results can change based on certain other independent factors. Let's say my test measures a biochemical value but depending on what ...
