Hi there,
i know you can go with PCA or factor analysis to decrease the dimension of your count (say RPKM / FPKM) data and visualize it. However, are there methods who are capable of reduction to say [0,1] to further use count data as features for certain ML techniques?
Or are there ML implementations which can handle count data directly?
Thanks.
Best,
phil
i know you can go with PCA or factor analysis to decrease the dimension of your count (say RPKM / FPKM) data and visualize it. However, are there methods who are capable of reduction to say [0,1] to further use count data as features for certain ML techniques?
Or are there ML implementations which can handle count data directly?
Thanks.
Best,
phil