ML-QTL
Contents:
Introduction
Usage
Details
mlqtl package
ML-QTL
Index
Index
B
|
C
|
D
|
E
|
F
|
G
|
I
|
M
|
N
|
P
|
R
|
S
|
T
|
U
|
V
B
base() (mlqtl.data.plink.Plink method)
(mlqtl.data.snp.Plink method)
C
cal_padj() (in module mlqtl.datautils)
cal_sliding_window() (in module mlqtl.datautils)
check_chrom() (mlqtl.data.dataset.Dataset method)
chrom (mlqtl.data.gene.Gene property)
(mlqtl.data.snp.SNP property)
chunks() (mlqtl.data.gene.Gene method)
convert_onehot() (mlqtl.data.snp.SNP static method)
D
Dataset (class in mlqtl.data.dataset)
duplicated_markers (mlqtl.data.plink.Plink property)
(mlqtl.data.snp.Plink property)
E
encode() (mlqtl.data.snp.SNP method)
F
feature_importance() (in module mlqtl.train)
filter() (mlqtl.data.gene.Gene method)
filter_by_chr() (mlqtl.data.gene.Gene method)
filter_df() (mlqtl.data.trait.Trait method)
G
Gene (class in mlqtl.data.gene)
get() (mlqtl.data.dataset.Dataset method)
(mlqtl.data.gene.Gene method)
(mlqtl.data.snp.SNP method)
(mlqtl.data.trait.Trait method)
get_class_from_path() (in module mlqtl.utils)
get_hap() (mlqtl.data.dataset.Dataset method)
gff3_to_range() (in module mlqtl.utils)
gtf_to_range() (in module mlqtl.utils)
I
idx2marker() (mlqtl.data.plink.Plink method)
(mlqtl.data.snp.Plink method)
init_worker() (in module mlqtl.train)
M
marker2idx() (mlqtl.data.plink.Plink method)
(mlqtl.data.snp.Plink method)
MatrixFloat64 (in module mlqtl.nda_typing)
MatrixInt8 (in module mlqtl.nda_typing)
merge_window() (in module mlqtl.datautils)
MLMetrics (class in mlqtl.train)
mlqtl
module
mlqtl.cli
module
mlqtl.data
module
mlqtl.data.dataset
module
mlqtl.data.gene
module
mlqtl.data.plink
module
mlqtl.data.snp
module
mlqtl.data.trait
module
mlqtl.datautils
module
mlqtl.nda_typing
module
mlqtl.plot
module
mlqtl.train
module
mlqtl.utils
module
module
mlqtl
mlqtl.cli
mlqtl.data
mlqtl.data.dataset
mlqtl.data.gene
mlqtl.data.plink
mlqtl.data.snp
mlqtl.data.trait
mlqtl.datautils
mlqtl.nda_typing
mlqtl.plot
mlqtl.train
mlqtl.utils
N
nb_markers (mlqtl.data.plink.Plink property)
(mlqtl.data.snp.Plink property)
nb_samples (mlqtl.data.plink.Plink property)
(mlqtl.data.snp.Plink property)
next() (mlqtl.data.plink.Plink method)
(mlqtl.data.snp.Plink method)
P
Plink (class in mlqtl.data.plink)
(class in mlqtl.data.snp)
plot_feature_importance() (in module mlqtl.plot)
plot_graph() (in module mlqtl.plot)
proc_train_res() (in module mlqtl.datautils)
R
run_plink() (in module mlqtl.utils)
S
samples (mlqtl.data.snp.SNP property)
significance() (in module mlqtl.datautils)
skip_padj() (in module mlqtl.datautils)
sliding_window() (in module mlqtl.datautils)
SNP (class in mlqtl.data.snp)
T
TensorFloat64 (in module mlqtl.nda_typing)
train() (in module mlqtl.train)
train_batch() (in module mlqtl.train)
train_single() (in module mlqtl.train)
train_with_progressbar() (in module mlqtl.train)
Trait (class in mlqtl.data.trait)
U
update() (mlqtl.train.MLMetrics method)
V
VectorBool (in module mlqtl.nda_typing)
VectorFloat64 (in module mlqtl.nda_typing)
VectorInt8 (in module mlqtl.nda_typing)
VectorStr (in module mlqtl.nda_typing)