Mouse myeloid lineage differentiation

Myeloid lineage differentiation from mouse blood. Sequenced by SMARTseq in 2016 by Olsson et al. 660 cells x 112815 features with 4 cell type labels

Raw Scaled

Rank	Name	Mean score	Distance correlation (spectral)	Distance correlation (spectral)	Distance correlation	Distance correlation	co-KNN AUC	co-KNN AUC	co-KNN size	co-KNN size	continuity	continuity	density preservation	density preservation	global property	global property	local continuity meta criterion	local continuity meta criterion	local property	local property	trustworthiness	trustworthiness	Memory (GB)	Runtime (min)	CPU (%)	Year	Library
1	densMAP (logCP10k)	0.72	0.14	1.85	0.43	0.64	0.71	0.43	0.55	0.53	0.98	0.96	0.85	1.15	0.73	-0.04	0.51	0.53	0.53	0.19	0.96	0.93	0.47	2.02	37.30	2021	v0.5.3
2	UMAP (logCP10k)	0.61	0.16	2.06	0.42	0.63	0.69	0.38	0.51	0.48	0.98	0.95	0.08	0.13	0.71	-0.14	0.46	0.48	0.52	0.18	0.96	0.92	0.47	0.97	77.80	2018	v0.5.3
3	NeuralEE (CPU) (Default)	0.56	0.08	1.33	0.40	0.60	0.70	0.40	0.52	0.50	0.98	0.96	0.23	0.34	0.72	-0.10	0.48	0.50	0.52	0.18	0.96	0.91	2.10	0.87	210.60	2020	v0.1.6
4	PyMDE Preserve Neighbors (logCP10k)	0.56	0.13	1.73	0.38	0.57	0.68	0.37	0.49	0.46	0.97	0.95	0.07	0.12	0.71	-0.15	0.44	0.46	0.51	0.16	0.96	0.92	0.85	3.50	1,243.70	2021	v0.1.18
5	t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k)	0.55	0.08	1.32	0.27	0.40	0.68	0.35	0.54	0.52	0.98	0.95	0.40	0.55	0.69	-0.20	0.49	0.52	0.51	0.16	0.97	0.93	0.54	19.30	186.10	2008	v0.1
6	densMAP PCA (logCP10k)	0.55	0.06	1.09	0.22	0.34	0.65	0.30	0.52	0.50	0.98	0.95	0.78	1.05	0.66	-0.31	0.48	0.50	0.50	0.13	0.97	0.93	0.57	0.95	361.20	2021	v0.5.3
7	densMAP PCA (logCP10k, 1kHVG)	0.54	0.02	0.74	0.38	0.56	0.69	0.39	0.47	0.44	0.97	0.94	0.68	0.92	0.72	-0.09	0.42	0.44	0.49	0.12	0.95	0.90	0.43	0.99	105.20	2021	v0.5.3
8	UMAP PCA (logCP10k)	0.50	0.08	1.32	0.33	0.49	0.67	0.34	0.49	0.47	0.97	0.94	0.09	0.14	0.69	-0.20	0.44	0.47	0.51	0.16	0.96	0.92	0.57	2.02	423.00	2018	v0.5.3
9	PHATE (default)	0.49	0.09	1.43	0.41	0.62	0.67	0.34	0.44	0.41	0.97	0.94	-0.06	-0.05	0.70	-0.19	0.40	0.41	0.48	0.10	0.95	0.91	0.55	2.95	132.30	2019	v1.0.10
10	PHATE (logCP10k)	0.49	0.08	1.26	0.40	0.59	0.66	0.32	0.44	0.41	0.97	0.93	0.13	0.20	0.69	-0.23	0.39	0.41	0.47	0.10	0.95	0.91	0.50	1.37	277.90	2019	v1.0.10
11	NeuralEE (CPU) (logCP10k, 1kHVG)	0.49	0.03	0.85	0.31	0.46	0.69	0.38	0.45	0.42	0.96	0.91	0.40	0.56	0.72	-0.11	0.40	0.42	0.46	0.07	0.95	0.90	0.58	1.42	234.40	2020	v0.1.6
12	densMAP (logCP10k, 1kHVG)	0.47	0.03	0.80	0.27	0.40	0.63	0.27	0.45	0.42	0.96	0.91	0.64	0.87	0.66	-0.35	0.40	0.42	0.43	0.03	0.94	0.89	0.41	0.81	77.60	2021	v0.5.3
13	Principle Component Analysis (PCA) (logCP10k)	0.45	0.10	1.45	0.22	0.34	0.62	0.25	0.41	0.39	0.96	0.92	0.18	0.27	0.65	-0.38	0.37	0.38	0.46	0.07	0.90	0.79	0.41	1.15	46.30	1901	v1.1.3
14	PyMDE Preserve Neighbors (logCP10k, 1kHVG)	0.45	0.04	0.92	0.40	0.59	0.68	0.36	0.47	0.45	0.97	0.93	-0.05	-0.04	0.71	-0.14	0.42	0.44	0.44	0.04	0.95	0.90	0.60	0.67	214.90	2021	v0.1.18
15	t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k, 1kHVG)	0.43	0.02	0.72	0.28	0.42	0.67	0.34	0.49	0.47	0.97	0.94	0.13	0.20	0.69	-0.21	0.45	0.47	0.47	0.08	0.96	0.91	0.40	1.63	338.20	2008	v0.1
16	PHATE (gamma=0)	0.43	0.08	1.25	0.38	0.57	0.68	0.36	0.42	0.39	0.97	0.93	-0.33	-0.41	0.71	-0.15	0.37	0.39	0.46	0.08	0.95	0.90	0.55	0.55	386.10	2019	v1.0.10
17	Principle Component Analysis (PCA) (logCP10k, 1kHVG)	0.43	-0.03	0.20	0.21	0.32	0.68	0.36	0.46	0.44	0.97	0.92	0.56	0.77	0.70	-0.16	0.42	0.44	0.48	0.11	0.95	0.89	0.40	1.25	29.10	1901	v1.1.3
18	PHATE (logCP10k, 1kHVG)	0.42	0.00	0.55	0.30	0.45	0.67	0.33	0.43	0.41	0.97	0.93	0.25	0.35	0.69	-0.21	0.39	0.40	0.47	0.08	0.95	0.90	0.40	0.89	245.20	2019	v1.0.10
19	UMAP (logCP10k, 1kHVG)	0.36	0.02	0.74	0.26	0.39	0.64	0.27	0.45	0.42	0.96	0.91	-0.09	-0.09	0.66	-0.34	0.40	0.42	0.43	0.02	0.94	0.88	0.43	0.97	93.80	2018	v0.5.3
20	UMAP PCA (logCP10k, 1kHVG)	0.35	0.01	0.61	0.21	0.32	0.65	0.30	0.45	0.42	0.97	0.93	-0.16	-0.18	0.67	-0.29	0.40	0.42	0.49	0.12	0.95	0.90	0.42	1.00	96.80	2018	v0.5.3
21	PyMDE Preserve Distances (logCP10k)	0.32	0.07	1.18	0.37	0.55	0.58	0.15	0.22	0.18	0.83	0.63	0.46	0.64	0.62	-0.48	0.17	0.18	0.29	-0.22	0.72	0.42	0.93	4.22	542.20	2021	v0.1.18
22	PyMDE Preserve Distances (logCP10k, 1kHVG)	0.30	-0.05	0.01	0.23	0.34	0.66	0.31	0.32	0.28	0.80	0.57	0.65	0.88	0.70	-0.19	0.27	0.28	0.35	-0.11	0.83	0.64	0.79	1.28	188.30	2021	v0.1.18