Table 1 Top-ranked genes from latent dirichlet allocation analysis.

From: Direct cell interactions potentially regulate transcriptional programmes that control the responses of high grade serous ovarian cancer patients to therapy

Gene

Probability

Clinical group

PRSS1

0.76

CR

ECE1

0.70

CR

ABHD11-AS1

0.68

CR

MT1G

0.68

CR

UBE2C

0.66

CR

XIST

0.65

CR

RNASE1

0.63

CR

PLK1

0.77

PD

NEK2

0.63

PD

FAM64A

0.61

PD

CDCA3

0.60

PD

C1QTNF3

0.59

PD

HMMR

0.57

PD

CENPA

0.57

PD

TUBA1B

0.81

PR

SIAH2

0.70

PR

TUBA1A

0.68

PR

KRT8

0.67

PR

MOB2

0.67

PR

PCNA

0.62

PR

  1. Latent Dirichlet Allocation was utilised to uncover genes that changed in expression due to interaction by segregating genes into latent unobserved topics. Probability scores represent the highest probability for each gene to have had a change in its expression in the doublet latent topic. CR, complete remission; PD, progressive diseases; PR, partial remission.
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