Data The data matrix is shown as an interactive table. In this table, rows are gene IDs and columns are samples/conditions and/or gene metadata, the expression values of a sample can be sorted, and particular genes can be searched by row identifiers.

Filter
Value (A) to exceed/Proportion (P) of samples with values >= A Filter genes according to expression values. Genes with expression values at least A in at least samples of P proportion are retained. The initial values are set to very low so that no rows are filtered out on start.
Min coefficient of variation (CV1)/Min coefficient of variation (CV2) Filter genes according to the coefficient of variation (CV). Only genes with CV between CV1 and CV2 are kept. The initial values are set to very low or hight so that no rows are filtered out on start.
Transform
Log/exp transform Transform the data matrix by log2 or 2-base expoent (exp2). It is applicable if colored tissues cannot be distinguished due to low variance or outliers in the data.
Scale by Scale the data table by rows or columns.
Re-order columns Re-order/delete the columns. It is effective only after clicking the "Confirm" button.
Search Search for rows with gene IDs, where IDs must ONLY be separated by space or comma. E.g. HRE2,petL,rpl32. It is effective only after clicking "Submit". To recover the whole table, clear the field and click "Submit". The searching is case-insensitive and supports regular expression such as HRE2,petL,rpl\d+.

Re-match This section enables users to manually re-match samples with spatial features by simply dragging. There are two types of re-matching. The first one is to re-match within the same pair of data and aSVG. The sample and feature identifiers are listed separately. Users can drag them in any desired order. Samples above "only_above_samples_are_re-matched" and features above "only_above_features_are_re-matched" will be re-matched after clicking "update". The second one is to re-match a data set to a different aSVG or vice versa. This is most useful when a data does not have a matching aSVG or vice versa in the uploaded tar files. Any data under "Step 1: data sets" can be re-matched to any aSVG under "aSVGs to re-match".