ZhiyuanChen
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- train.parquet +2 -2
README.md
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@@ -56,47 +56,56 @@ This is an UNOFFICIAL release of the [RYOS](https://www.kaggle.com/competitions/
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## Example Entry
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| 9830366 | testing
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## Column Description
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The RYOS dataset consists of the following columns, providing crucial insights for understanding RNA stability for vaccine design:
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- **sequence**:
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- **reactivity**:
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- **deg_pH10** and **deg_Mg_pH10**:
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- **deg_50C** and **deg_Mg_50C**:
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- **\*\_error\_\* Columns**:
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- **SN_filter**:
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Note that due to technical limitations, the ground truth measurements are not available for the final bases of each RNA sequence, resulting in a shorter length for the provided labels compared to the full sequence.
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## Example Entry
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| id | design | sequence | secondary_structure | reactivity | errors_reactivity | signal_to_noise_reactivity | deg_pH10 | errors_deg_pH10 | signal_to_noise_deg_pH10 | deg_50C | errors_deg_50C | signal_to_noise_deg_50C | deg_Mg_pH10 | errors_deg_Mg_pH10 | signal_to_noise_deg_Mg_pH10 | deg_Mg_50C | errors_deg_Mg_50C | signal_to_noise_deg_Mg_50C | SN_filter |
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| ------- | ------- | ------------- | ------------------- | ----------------------------- | ---------------------------- | -------------------------- | ----------------------------- | ---------------------------- | ------------------------ | --------------------------- | -------------- | ---------------------------------- | ----------------------------- | ---------------------------- | --------------------------- | --------------------------- | ---------------------------- | -------------------------- | --------- |
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| 9830366 | testing | GGAAAUUUGC... | .......(((... | [0.4167, 1.5941, 1.2359, ...] | [0.1689, 0.2323, 0.193, ...] | 5.326 | [1.5966, 2.6482, 1.3761, ...] | [0.3058, 0.3294, 0.233, ...] | 4.198 | [0.7885, 1.93, 2.0423, ...] | | 3.746 [0.2773, 0.328, 0.3048, ...] | [1.5966, 2.6482, 1.3761, ...] | [0.3058, 0.3294, 0.233, ...] | 4.198 | [0.7885, 1.93, 2.0423, ...] | [0.2773, 0.328, 0.3048, ...] | 3.746 | True |
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## Column Description
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The RYOS dataset consists of the following columns, providing crucial insights for understanding RNA stability for vaccine design:
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- **id**:
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A unique identifier for each RNA sequence entry.
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- **design**:
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The name given to each RNA design by contributors, used for easy reference.
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- **sequence**:
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The nucleotide sequence of the RNA molecule, represented using the standard RNA bases:
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- **A**: Adenine
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- **C**: Cytosine
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- **G**: Guanine
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- **U**: Uracil
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- **secondary_structure**:
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The secondary structure of the RNA represented in dot-bracket notation, using up to three types of symbols to indicate base pairing and unpaired regions, as per bpRNA's standard:
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- **Dots (`.`)**: Represent unpaired nucleotides.
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- **Parentheses (`(` and `)`)**: Represent base pairs in standard stems (page 1).
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- **Square Brackets (`[` and `]`)**: Represent base pairs in pseudoknots (page 2).
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- **Curly Braces (`{` and `}`)**: Represent base pairs in additional pseudoknots (page 3).
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- **reactivity**:
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A list of floating-point values that provide an estimate of the likelihood of the RNA backbone being cut at each nucleotide position.
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These values help determine the stability of the RNA structure under various experimental conditions.
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- **deg_pH10** and **deg_Mg_pH10**:
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Arrays of degradation rates observed under two conditions: incubation at pH 10 without and with magnesium, respectively.
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These values provide insight into how different conditions affect the stability of RNA molecules.
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- **deg_50C** and **deg_Mg_50C**:
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Arrays of degradation rates after incubation at 50°C, without and with magnesium.
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These values capture how RNA sequences respond to elevated temperatures, which is relevant for storage and transportation conditions.
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- **\*\_error\_\* Columns**:
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Arrays of floating-point numbers indicating the experimental errors corresponding to the measurements in the **reactivity** and **deg\_** columns.
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These values help quantify the uncertainty in the degradation rates and reactivity measurements.
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- **SN_filter**:
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A filter applied to the dataset based on the signal-to-noise ratio, indicating whether a specific sequence meets the dataset’s quality criteria.
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If the SN_filter is `True`, the sequence meets the quality criteria; otherwise, it does not.
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Note that due to technical limitations, the ground truth measurements are not available for the final bases of each RNA sequence, resulting in a shorter length for the provided labels compared to the full sequence.
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test.parquet
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train.parquet
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