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Table 1 The key features of each dataset

From: Developing a multiomics data-based mathematical model to predict colorectal cancer recurrence and metastasis

Dataset

Features

Clinical data

Lymph node, Metastasis, Calcium nodus

Somatic mutations

COL6A3, OTOG, KAL1

Proteomics

A0A024R046, A0A024R056, A0A024R0Y5, A0A024R1S8, A0A024R2U7, A0A024R3B5, A0A024R5K1, A0A024R7I3, A0A024R9G4, A0A024RCX8, A0A024RCY1, A0A087WTA8, A0A0A0MRF6, A0A0A0MSM0, A0A0S2Z3J9, A0A140VJC9, A2RUA4, A4D1 × 5, A6NHQ2, A8K2L4, A8K878, B2R4P9, B2R5J1, B2RDF2, B2RDW1, B2ZDQ1, B4DEH0, B7ZB78, C9K0I4, D3DT27, E9PMC9, G1EPM2, O14917, O60493, O75554, P02452, P02461, P02749, P05164, P11908, P14780, P17066, P17600, P18077, P20585, P23378, P24158, P29350, P31947, P35637, P36268, P37802, P40763, P42224, P48061, P49327, P51572, P52209, P52630, P52732, P54707, P63261, P68371, P78346, Q13151, Q13287, Q13884, Q15029, Q2TAM5, Q53SW3, Q546E0, Q6DN03, Q6FIA3, Q7Z434, Q8N8A2, Q8WUM0, Q8WXH0, Q92734, Q96A33, Q96BP3, Q96IS6, Q99497, Q9BTE1, Q9BTT0, Q9NZ08, Q9UI15, Q9UNS2, Q9Y2Z0, Q9Y426

Phosphoproteomics

A0A024R4G1_509_Y, A0A024R4Z6_441_Y, A0A024R9K2_184_S, A0A024RAM4_1817_S, A0A087WVT6_320_S, A0A140VJN8_130_S, B4DPP8_314_T, B4DPP8_320_S, B4DPP8_325_T, P08670_436_T, P62263_137_S, Q6WKZ4_206_S, Q6WKZ4_338_S, Q8IZ21_358_T, Q92625_628_S